About
Zintellect is a platform operated by Oak Ridge Associated Universities (ORAU) that provides access to hundreds of research internships, fellowships, and scholarships funded by government and private sector organizations. The platform serves as a comprehensive opportunity catalog where applicants can search by keyword, academic level, discipline, or organization to find experiential learning opportunities, while mentors can review applications and recommend candidates.
Funding Opportunities
DOE Marine Energy Fellowship: Graduate Student Track, Fall Cohort
The U.S. Department of Energy's Water Power Technologies Office enables research, development, and testing of emerging technologies to advance marine energy as well as next-generation hydropower and pumped storage systems. The Marine Energy Fellowship: Graduate Student Track prepares graduate students for careers in marine energy by providing opportunities at DOE laboratories, industry organizations, NGOs, nonprofits, and other approved facilities. Participants advance their master's or doctoral thesis utilizing expertise, resources, and capabilities available at these facilities while networking with top scientists in the field. Fellows conduct research at both their academic institution and an external hosting facility that they identify, working with a mentor they secure who can provide resources aligned with their research goals. The fellowship strengthens efforts to convert the energy of waves, tides, and river and ocean currents into electricity, technologies with the potential to provide millions of Americans with locally sourced, reliable energy. The program enhances education and training in marine energy, increases marketability in these disciplines, and provides access to top scientists, state-of-the-art equipment, and insight into research and career opportunities in marine energy and the blue economy.
Oak Ridge Office of Environmental Management Science Education and Internship Program - OREM - Environmental and Physical Sciences Fellow - 2024
The U.S. Department of Energy (DOE) Office of Environmental Management (OREM) is seeking Fellows to engage in projects and activities related to DOE-OREM Legacy Clean-up Missions at East Tennessee Technology Park, Oak Ridge National Laboratory, and Y-12 National Security Complex sites. The Fellow will receive training, coaching, and mentoring from the OREM Planning and Execution Division branch chiefs and project managers to effectively accomplish appointment goals which may involve projects focused on engineering, demolition, science, technology, business, policy, and government relations. The Fellow will collaborate with Portfolio Federal Project Directors on all aspects of their projects such as basic project management, engineering, budgeting and cost control, regulatory/environmental compliance, and contractor oversight. Over the course of this fellowship, the Fellow will learn how to apply basic project management skills to real-time projects under the mentorship and guidance of the OREM Planning and Execution Division personnel. This is a 24-month fellowship with possible extension.
Community Energy Fellowship Program
The Community Energy Fellowship Program is sponsored by the Office of State and Community Energy Programs (SCEP) to support its mission of providing on-site energy technical assistance to communities. Community Energy Fellows will receive hands-on experience that provides an understanding of the mission, operations, and culture of local or tribal governments and first-hand experience implementing new energy projects and initiatives. The goal of the fellowship is to increase access to energy career opportunities across the country and accelerate the national transition to resilient and affordable energy. Fellows will receive a stipend to offset the cost of their participation in the program and an allowance for education and professional development opportunities. Fellows will learn about technical expertise related to the creation, administration, and launch of new energy projects and programs sponsored by SCEP. Fellows will gain experience around energy technology areas such as energy efficiency, electric vehicle technology, energy deployment to local, state and tribal governments as well as gain valuable insight into the government's role in the creation and implementation of policies and programs that impact energy technology developments. Fellows may be located on site at the assigned host community or participate remotely, with travel to the host site(s). Fellows may participate in activities such as stakeholder engagement, research, project management, policy or technical analysis, communication materials, data and metric gathering and more.
DOE Scholars - 2025 - Biological and Environmental Research
The DOE Scholars Program is designed to attract talented undergraduate and graduate students, and recent graduates to research, technical and professional opportunities within U.S. Department of Energy (DOE) and organizations that support the DOE mission. This opportunity is funded by U.S. Department of Energy's Biological and Environmental Research as part of the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) Bioenergy Research Center. CABBI's mission is to develop efficient ways to grow bioenergy crops, transform biomass into valuable chemicals, and market the resulting biofuels and other bioproducts. It aims to integrate recent advances in agronomics, genomics, and synthetic and computation biology to increase the value of energy crops and help reduce our nation's dependence on fossil fuels. The U.S. Department of Agriculture-Agricultural Research Service's (USDA-ARS) role in CABBI is to develop high-yielding energy cane varieties that are adapted to the southeastern United States. Assessment of different varieties of cane for yield and quality traits will be conducted as part of this project, which falls under the Feedstock Production theme of CABBI.
Department of Energy (DOE) Science, Technology, and Policy (STP) Program
The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects, and activities that align with the DOE's mission. Program participants will gain insight into the federal government's role in creating and implementing policies that will impact energy technology development; contribute to the implementation of energy policies by utilizing scientific and technical expertise to address key issues relevant to the DOE; and continue their education and involvement in areas that support the DOE mission. By participating, individuals will join a community of highly-skilled scientists and engineers, and will be equipped with the knowledge, experience, and training to contribute to the DOE's mission and workforce in the future. Selected candidates will receive a stipend to offset the cost of living and other expenses during this appointment. Stipend rates are determined by DOE officials and are based on the candidate's academic and professional background. Candidates may also be eligible to receive a health insurance allowance and reimbursement for travel expenses.
2026 DOE Scholars - Internships - Office of Policy
The DOE Scholars Program at the U.S. Department of Energy Office of Policy offers paid opportunities for high school students, undergraduate students, graduate students, and recent graduates to learn about policy analysis projects across various focus areas. These areas include Domestic Energy Policy, Power Sector, Critical Minerals and Materials, Artificial Intelligence, Energy Jobs, Permitting, and Nuclear. Under the mentorship of DOE/OP experts and subject matter leaders, participants will contribute to projects that involve technical report writing, data collection and analysis, and utilizing collaboration tools and AI technologies. The program provides participants with exposure to world-class research, data analytics, and artificial intelligence applications within OP, allowing them to learn directly from leading policymakers and industry experts while building long-term professional relationships with DOE/OP subject matter experts. Appointments typically last 7-10 weeks during the summer and may be offered at DOE Headquarters in Washington, D.C., DOE Field Offices, or other DOE sites nationwide, with opportunities for on-site or hybrid arrangements depending on the project.
DOE Marine Energy Fellowship: Postgraduate Track, Fall Cohort
The U.S. Department of Energy's Water Power Technologies Office (WPTO) enables research, development, and testing of emerging technologies to advance marine energy as well as next-generation hydropower and pumped storage systems for a flexible, reliable grid. Marine energy technologies convert the energy of waves, tides, and river and ocean currents into electricity and have the potential to provide millions of Americans with locally sourced, reliable energy. The WPTO-funded Marine Energy Fellowship: Postgraduate Track will strengthen those efforts by preparing postgraduates for careers in marine energy important to WPTO by providing opportunities at DOE laboratories, industry organizations, Non-Governmental Organizations (NGOs), nonprofits, and other DOE/WPTO-approved facilities. As a participant with the Marine Energy Fellowship: Postgraduate Track, you will advance your experience and skills utilizing the expertise, resources, and capabilities available at DOE laboratories, industry, federal agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy, increase your marketability in these disciplines, gain access to top scientists and state-of-the-art equipment, and gain insight into research and career opportunities. You will have the opportunity to collaborate and learn from experts researching, developing, and testing emerging technologies in marine energy and/or blue economy. You will conduct research at a host facility where you are responsible for finding a host facility and securing a mentor, you will be embedded in a facility whose research aligns with your research goals and who can provide the resources you need for your research.
2025 DOE Scholars - Internships - Office of Energy Dominance Financing
The U.S. Department of Energy's Office of Energy Dominance Financing (EDF) supports high-impact energy and manufacturing initiatives that advance U.S. energy security, grid reliability, and national competitiveness. EDF works closely with private-sector partners, other federal agencies, and key stakeholders to finance projects that strengthen America's energy foundation and support emerging technologies. As an EDF intern, participants assist with research, analysis, and program support across focus areas including energy generation and grid reliability projects, innovative energy technology initiatives, manufacturing and advanced transportation projects, tribal energy investment and partnership projects, CO2 transportation and infrastructure projects, and energy solutions that support U.S. leadership in artificial intelligence and other emerging technologies. This internship provides a unique opportunity to gain firsthand experience supporting nationally significant energy finance initiatives while developing professional skills in research, analysis, and supporting federal program operations. The program offers stipends for undergraduate and graduate students, travel allowances, and flexible virtual or onsite appointments in Washington, D.C.
Visual Perception for Decision Making
This research opportunity is focused on the development of visual perception models to extract the relevant visual information from a scene needed for an autonomous or human agent to understand their surrounding environment and make an appropriately informed decision. Decision-making may require understanding the surrounding environment using a combination of low, mid, or high-level visual concepts. Research opportunities exist at ARL to develop computer vision models focused on object recognition, instance segmentation, panoptic segmentation, scene graph generation, amodal perception, pose estimation, open-set recognition, zero-shot learning, high dynamic range processing for visual perception, and visual saliency modeling. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), which is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program supports research in diverse fields including applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, and computational and information sciences.
Using Virtual Environments to Understand Cognitive Processes in More Mission-Relevant Scenarios
The ARL Research Associateship Program (ARL-RAP) offers a research opportunity focused on understanding how visual information is processed by the human brain in immersive, real-world environments. The vast majority of knowledge about visual information processing comes from tightly controlled laboratory experiments. This project aims to transition these results into field-ready technologies by exploring how cognitive mechanisms, well-understood in the lab, operate in more immersive, mission-relevant environments. Successful candidates will apply principles of neural computational models based on desktop paradigms to visual search experiments in immersive virtual environments to test predictions and form foundational theories about how the visual system operates in natural environments. This combination of computational theory and experimentation using cutting-edge technology will inform the design of human-AI teams by providing a better understanding of how the human visual system deploys attentional resources in the environment, thereby allowing the development of complementary AI systems. The research is conducted through the Human Research and Engineering Directorate (HRED), ARL's principal center for research directed toward optimizing Soldier performance and human-autonomy teaming.
Understanding content and conversational context in human-robot dialogue.
This research opportunity explores the development and application of computer-readable markups of natural language, two-way dialogue between a human and a robot, where the markup makes explicit the patterns of language needed for system understanding and serves as training data for automatic processing of language, including a deep understanding of the semantic content of language, as well as an awareness of the conversational context. The position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The Computational and Information Sciences Directorate (CISD) conducts research in disciplines relevant to achieving the digital battlefield, focusing on sensing, distribution, analysis, and display of information in the modern battle space. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Uncertainty-Aware AI&ML for Information Fusion
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on advancing AI and machine learning technology for information fusion systems. Information fusion systems to meet future Army challenges will require advanced AI&ML technology that can learn and make inferences over sparse, conflicting, and heterogeneous data from possibly unreliable information sources. The project seeks to advance AI&ML technology so that it can properly express uncertainty in its inferences and identify unusual observations and corresponding reasoning paths to achieve more robust decision making. Research will focus on recent advances in Bayesian and evidential neural networks, second-order probabilities, trust/reputation systems, and subjective logic. The position is hosted by the Sensors and Electron Devices Directorate (SEDD), which is the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Uncertainty Visualization and Adaptation to Novel Technologies
DEVCOM US Army Research Lab is seeking a postdoctoral researcher to join a collaborative, interdisciplinary team conducting basic research on visualizations of uncertain data in traditional (e.g. 2-d static displays) and novel (e.g. dynamic, immersive VR) contexts and on user adaptation to unfamiliar technologies generally. The research team is especially interested in individual differences measures associated with the ability to rapidly adapt to a range of novel technologies including successful use of uncertainty visualizations; training approaches to improve reasoning with uncertainty and other adaptation skills; and the relationship between reasoning with uncertainty and adaptability to novel, complex environments, situations, and technologies. The position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The team is based in Los Angeles, California, but remote research from another ARL facility may be possible. This opportunity provides high quality, basic research experience while gaining exposure to a government research environment.
Ultrafast Studies of Nonequilibrium Electronic Carrier Dynamics and Thermal Transport in Wide and Ultra-wide Bandgap Semiconductors
This research opportunity is available at the U.S. DEVCOM Army Research Laboratory (ARL), located in Adelphi, MD. The researcher will have a unique opportunity to employ ultrafast spectroscopy to study various aspects of advancing foundational knowledge of electronic carrier dynamics and thermal transport in Wide and Ultra-wide Bandgap Semiconductors, including the underlying mechanisms of carrier thermalization, radiative and nonradiative recombination, and nonequilibrium transport, as well as the thermal transport properties associated with the generation and propagation of heat in heterostructures. Prior experience with ultrafast laser sources and pump-probe metrology techniques is desired. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This opportunity is part of the Electromagnetic Spectrum Sciences research area, focusing on novel approaches to sensing and operating across the entire electromagnetic environment.
Turbine Power Sciences and High Temperature Propulsion Materials Research
The DEVCOM Army Research Laboratory is seeking scientists and engineers to conduct Vertical Takeoff Lift (VTOL) Turbine Power Research through the Army Research Laboratory Research Associateship Program (ARL-RAP). This research opportunity focuses on developing disruptive advanced materials and turbomachinery concepts/technologies for highly improved power-density, durability and efficiency for advanced VTOL gas turbine propulsion systems. The program addresses power demand, speed, range and low-cost sustainment gaps in Army aviation systems. The research encompasses four main thrust areas: Advanced Ceramic Composite Systems, Ultra High Temperature Ceramics for Propulsion, Advanced Thermo-Fluid Models in Pressure Gain Combustor Environments, and Advanced Gas Generator Turbine Concepts. The objective is discovery and operationalization of advanced material systems, multi-physics high-fidelity computational methods and advanced turbomachinery concepts for future Army VTOL propulsion. Target metrics include durable turbine material systems providing 30% increased life, next-generation ultra-high temperature ceramics enabling 50% improved efficiency/power-density, high-fidelity computational methods for predictive designs, and advanced turbomachinery concepts achieving 50% improved efficiency/power-density and 30% improved durability. Knowledge products include increased understanding of processing-structure-property relationships for technical ceramics, advanced low-k refractory ceramic materials with high fracture toughness, high-accuracy fluid-structure interaction models, and advanced turbomachinery concepts for responsive propulsion systems. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Selected participants work with ARL advisors on cutting-edge research that supports Army forces in meeting future operational needs.
Training AI Teammates Using Human Input
The Army Research Laboratory Research Associateship Program (ARL-RAP) postdoctoral fellowship focuses on understanding how humans and intelligent agents can work together cooperatively to achieve desired outcomes most efficiently. This research will investigate how to leverage human inputs to increase the effectiveness of an AI teammate and how behavior from an artificial agent changes human behavior. The project will leverage behavioral, eye tracking, and electrophysiological human inputs as features in AI models. Successful candidates will be involved in all aspects of the scientific process from experimental design, data acquisition and analysis, to presentation and publication of results. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This postdoctoral research position is based at the DEVCOM Army Research Laboratory within the Humans in Complex Systems (HCxS) research area, which takes multi-disciplinary non-medical approaches to understand and modify the potential of humans situated in and interacting within complex social, technological, and socio-technical systems.
Topological Materials & Interfacial Coupling for Topologically Enabled Devices (TED)
The U.S. Army Research Laboratory (ARL) seeks a highly motivated, well informed, cross-disciplinary and skilled research fellow with experience in theoretical/computational modeling and characterization of topological, magnetic materials and heterostructures. This research fellow will study structural, electronics and magnetic properties of topological insulator (TI)/magnetic material heterostructures with quantum mechanical first principle method. The research fellowship is a critical part of on-going DOD-wide research project on topologically enabled devices (TED). ARL is accelerating a strategic initiative to move the physics of topological materials to the engineering of emerging electronic devices that may solve future battlefield challenges with ultra-efficient electronics and RF technology, and equivalently may advance related civilian technology. Recent theoretical predictions for the device concepts based on topological insulator/magnetic materials heterostructures far exceed today's state of the art for things such as sensing, sub-threshold switching with markedly reduced energy consumption, energy harvesting and radio frequency or even THz electronics. This fellowship is a unique opportunity to take full advantage of ARL's strategic intra-extramural reach with a seamless collaboration among ARL laboratories, extended campuses and leading academic scientists.
Timescales in Cybernetic Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a postdoctoral research opportunity focused on understanding how neuronal activity generates macroscopic signals in brain and simulations. This position involves developing novel analytic techniques using dynamical systems theory, topological data analysis, and machine learning to analyze neuroimaging data and brain activity simulations. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The research takes place within the Human Research and Engineering Directorate (HRED), ARL's principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. The position requires applicants to have a strong background in developing novel analysis techniques from disciplines including mathematics, statistics, physics, computer science, engineering, biology, psychology, or neuroscience. Selected participants will work with ARL advisors and must submit a research proposal to the ARL-RAP review panel. The program provides fellows with invaluable experience working on Army-relevant research challenges in brain dynamics and human performance optimization. This opportunity is part of a broader initiative to develop technologies that will support Army forces in meeting future operational needs.
Thermal characterization of composite materials
This research opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) involves the synthesis and characterization of materials that have different thermal conductivities. The project encompasses chemical synthesis, development of new experimental measurement techniques and the fabrication of materials for testing. The goal is to explore new materials with high thermal conductivity capable of high thermal diffusivity. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Researchers work with advisors at the DEVCOM Army Research Laboratory to conduct research in diverse fields including material science and technology, nanotechnology, and multifunctional technology. This specific opportunity is under the Science of Extreme Materials (SEM) competency, which focuses on materials and related manufacturing methods addressing mechanical response and performance extremes, including active, adaptive, and flexible/soft materials, as well as novel manufacturing science for energetic materials. Selected participants will work with advisors Daniel Knorr and Faheem Muhammed at ARL.
Theory-Driven Big Data for Predicting Human Behavior
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research fellowship focused on advancing foundational knowledge and methods to develop models that enable assessment of critical factors driving multidimensional, real-time human behavior in real-world conditions. This opportunity combines theory-driven and data-driven approaches to overcome traditional limitations in predicting human behavior. The Associate will conduct research within three overlapping thrusts: advancing concepts for a general framework for theory-driven Big Data approaches to understand human behavior; collecting and executing analytic efforts within large datasets to develop and test new methodologies; and applying these methods to develop proof-of-concept demonstrations. The fellowship is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Theoretical and Analytical Guidance Technologies
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity in theoretical and analytical guidance technologies at Aberdeen Proving Ground in Maryland. This position seeks exceptional candidates with MA in mathematics and numerical sciences to conduct ballistics research; guidance, navigation, and control (GNC); sensor development; and direct/indirect fire munition flight dynamics. The research aligns with the ARL S&T Campaign in the Sciences-for-Lethality, focusing on desired effects at standoff ranges for moving targets in access denied environments to improve the performance of future Army systems. This opportunity is part of the Weapons and Materials Research Directorate (WMRD), which aims to enhance the lethality and survivability of weapons systems while meeting soldier technology needs for advanced weaponry and protection.
Technologies for Integrated Photonic Oscillators
This project will support ongoing efforts to bring the exciting field of optical frequency division to the form factor of an integrated chip. Optical frequency division uses optical frequency combs (OFCs) to divide the frequency of an optical frequency reference (such as an optical resonator or optical atomic transition) to a microwave output signal, whose frequency is usable in conventional circuits. One of the enduring challenges in bringing this technology to the chip scale is generating on-chip OFCs with repetition rates that are sufficiently small (e.g., <40 GHz) to work with conventional electronics while simultaneously minimizing the required power (i.e., optical power in the case of microresonator OFCs and RF power in the case of electro-optic modulator OFCs). In this project, the student will contribute towards research in generating microwaves with frequencies <40 GHz using on-chip OFCs that require practical amounts of power. This project may involve characterizing OFC devices, building fiber-optic characterization circuits, making precision frequency noise measurements, and other related tasks. The opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Synthetic biology tools for aerobic filamentous fungi
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity to lead independent research efforts in the development of synthetic biology tools and approaches to genetically harness aerobic filamentous fungi, including those that serve as the host of lichens. These efforts will drive towards larger Army efforts to develop filamentous fungi as extreme robust novel chassis for a variety of fieldable synthetic biology applications. The position involves leading synthetic biology tool development for aerobic filamentous fungi, supporting current synthetic biology tool development, automation, and biomaterial efforts, developing novel synthetic biology approaches and workflows with state-of-the-art technology, and writing technical reports for internal and external publications. The initial appointment is for 12 months but may be renewed upon recognition of ARL contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience as a full-time appointment at ARL in Adelphi, MD.
Synthetic Biology Tools Development for Novel Biotechnology Chassis Microbes
A research opportunity available to conduct research in Biotechnology (non-medical) for DEVCOM Army Research Laboratory at two locations, Adelphi, MD and Austin, TX. This opportunity supports current efforts in biomaterials, genetic engineering, automation and synthetic biology. Applicants are expected to support all aspects of molecular biology and microbiology workflows in the Synthetic Biology Tools Branch with the potential to conduct independent research under the supervision of Army biologists. The program is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The initial appointment is for 12 months, but may be renewed upon recognition of ARL contingent on the availability of funds. Participants will support synthetic biology and microbiology workflows, develop optimized biology workflows for automation, learn and perform high throughput assays with state-of-the-art technology, write technical reports for internal publication, and work on a multi-disciplinary team contributing to publications and patents.
Synthetic Biology Postdoctoral Fellowships
The U.S. Army Research Laboratory (ARL) Biotechnology Branch has multiple postdoctoral opportunities available in synthetic biology. Candidates with synthetic biology experience are strongly encouraged to apply, and experience in non-chassis organisms highly desired. Projects will address a broad range of advances in non-medical materials discovery through living-living hybrid systems for national security and defense applications. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields. The Sensors and Electron Devices Directorate (SEDD) is responsible for advances in laser sources, RF sources, IR sensors, signature detection and decoding, target imaging and its interpretation, fusion of data derived from several sensors, and electromagnetic protection.
Synthesis, Processing, and Characterization of 2-Dimensional Polymers
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking a candidate with expertise in organic and polymer chemistry to design, synthesize, and characterize novel 2-dimensional polymers (2DPs). The research focuses on developing new 2DPs with unique architectures, linkage chemistry, and pore functionality with an emphasis on improved mechanical behavior, thermal stability and transport properties. This involves the design and synthesis of new monomers and their subsequent transformation to highly ordered 2D solids. The project will also involve developing processing strategies for forming 2DP coatings and films, assessing different solvent combinations, additives, and surfactants to develop film casting procedures for 2DP solids. Structural characterization leverages techniques such as PXRD, BET, FTIR and solid state NMR to confirm the synthetic target. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Synthesis of high-performance 2D polymer films
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers this research opportunity focused on the investigation of 2D polymer synthesis and processing into films. The project will examine optimal synthesis conditions with growth modulators, solvents, drying rates, and catalysts. Film synthesis will be studied parametrically including surfactant addition, substrates, and other variables. Material characterization will be conducted using a variety of spectroscopic and diffraction techniques, as well as atomic force microscopy and rheological tools. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This opportunity is within the Weapons and Materials Research Directorate (WMRD), which focuses on enhancing the lethality and survivability of weapons systems and meeting soldier's technology needs for advanced weaponry and protection. The program provides postdoctoral research associateships to individuals who have recently completed their doctoral degree or are currently pursuing one. Researchers will work alongside Army Research Laboratory scientists and engineers in pursuit of scientific research and technological developments in diverse fields including material science and technology, nanotechnology, and multifunctional technology. Selected participants will be required to write a research proposal to submit to the ARL-RAP review panel outlining their research objectives, planned approach, and expected outcomes.
Army Research Laboratory Research Associateship Program - Studying human-autonomy teaming through mobile games and wearable sensors
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on facilitating human-autonomy teaming through methods that increase an autonomy's understanding of a human teammate's state, preferences, and intents. The research involves using mobile games and wearable sensors to collect complex, continuous behavioral and physiological data from individuals over long periods (e.g., 6 months). Researchers will apply machine learning methods to predict behavior and make inferences about underlying processes that generate behavior as a means of improving human-autonomy team outcomes. The program is designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Applicants are expected to have expertise with computational and analytical methods as well as a background in human data analysis or collection. The Human Research and Engineering Directorate (HRED) is ARL's principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming, focusing on how humans and human teams perform and change in dynamic environments and situations.
Spin-ARPES Evaluation of Topological Materials and Heterostructures for Spintronic and novel Electro-Optical Device Applications
The DEVCOM Army Research Laboratory (ARL) seeks a highly motivated, well informed, cross-disciplinary and skilled postdoctoral fellow with experience in the characterization and understanding of high quality topological, magnetic materials and heterostructures using ARPES techniques spin-ARPES. The selected fellow will investigate band structure phenomena that underlie theoretical descriptions of notional future topological electronic devices (TEDs) for energy-efficient electronics, sensors, and/or electro-optical (EO) and infrared (IR) technologies. The fellow will leverage state-of-the-art spin-ARPES facilities located within ARL/ARD, and will leverage extended capabilities off-site at leading spin-ARPES beamline facilities located at synchrotron sites. This postdoctoral fellowship is administered through ORISE and requires a doctoral degree. If selected by an advisor, the participant will be required to write a research proposal to submit to the ARL-RAP review panel.
Spectroscopic characterization of Rare-Earth Doped Mid-Infrared Laser Crystals
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing new laser gain materials for operation in the mid-IR. This position involves spectroscopic characterization of new materials being grown by the Army Research Laboratory and its collaborators for potential use as mid-IR laser gain materials. Research tasks include material processing, spectroscopic studies on absorption, emission, and decay dynamics for rare-earth ions doped low phonon energy host materials. This opportunity is part of the Sensors and Electron Devices Directorate (SEDD), which is the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum. The program is designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Solid Mechanics Experimentalist
This opportunity at DEVCOM Army Research Laboratory is for a research position in the field of experimental solid mechanics, with a specific focus on the dynamic behavior of materials and advanced measurement techniques. The opportunity offers the chance to contribute to cutting-edge studies aimed at understanding and characterizing material responses under high-strain-rate conditions. Key research areas include investigating the mechanical response of materials subjected to dynamic loading conditions such as shock, impact, and high-speed deformation; developing and applying advanced Digital Image Correlation (DIC) methodologies to capture full-field strain and displacement measurements with high temporal and spatial resolution; and exploring the performance of modern materials such as composites, alloys, and polymers in dynamic environments. The role involves conducting experimental studies to evaluate the mechanical behavior of materials under dynamic conditions, developing and optimizing DIC techniques for precise data acquisition and analysis, collaborating with multidisciplinary teams to interpret results and enhance understanding of material behavior, and publishing findings in high-impact journals and presenting at leading conferences in the field.
Soft Armor Research
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on the development of novel nano-mechanical test methods for and characterization of single fibers and sub-fiber morphologies. The successful candidate will use atomic force microscopy and instrumented indentation, typically adding in situ material strains during testing. Of specific interest is the origin of failure and strength (failure analysis and modes of failure) for current high-performance fiber chemistries and processing. This research opportunity is located at Aberdeen Proving Ground in Maryland at the U.S. Army Research Laboratory (ARL), the Army's central laboratory. The position is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Candidates interested in broadening their professional experience by learning and developing new nano-mechanical characterization techniques to probe material structure-property relationships at the nano-scale are encouraged to apply.
Single-atom catalyst with high metal loading and durability for methane-to-liquids
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on single atom catalyst (SAC) characterization and catalysis tests. The selected candidate will be responsible for preparation of SAC catalysts by high temperature fusing, characterization using techniques such as SEM/TEM, elemental analysis, N2 adsorption/desorption, XRD, XPS, XAS, and catalysis tests in methane upgrading reactions for value added chemicals/fuels. This position is within the Sensors and Electron Devices Directorate (SEDD), the Army's principal center for research and development in electromagnetic spectrum exploration. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program provides opportunities for scientists and engineers to help shape and execute the Army's program for developing technologies that will support Army forces in meeting future operational needs.
Silicon Carbide for Solid-State Qubits, Opto-Electronics & Power Electronics
A postdoctoral research fellowship opportunity with the U.S. Army Research Laboratory's Sensors and Electron Devices Directorate located in Adelphi, MD. The position seeks candidates with backgrounds in Physics, Materials Science, Electrical Engineering or related fields to work on silicon carbide research aligned with quantum technologies. Research areas include epitaxial growth of low-strain, low defect density silicon carbide by CVD for solid-state spin qubits, modeling and fabrication of photonic crystal nanostructures in SiC for quantum device development and hybrid GaN/SiC optoelectronic sensors, or development of hybrid devices that integrate quantum, opto-electronic, MEMS and/or power electronic components in SiC. The Army Research Laboratory Research Associateship Program is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. The fellowship provides an opportunity to work at the Army's principal center for research and development in electromagnetic spectrum exploration.
Silicon Carbide for Solid-State Qubits, Opto-Electronics & Power Electronics
A research opportunity is available with the U.S Army Research Laboratory's (ARL) Sensors and Electron Devices Directorate (SEDD) located in Adelphi, MD. SEDD is seeking a highly motivated candidate for a Postdoctoral Fellowship with a background in Physics, Materials Science, Electrical Engineering or related fields. Silicon Carbide is a well-established wide-bandgap semiconductor with demonstrated commercial uses primarily for power electronics and as a substrate for lighting. Current research at ARL is aligned to demonstrating point defects in silicon carbide as a viable candidate for quantum technologies. The potential for a solid state quantum network provides a prominent role for a silicon carbide qubit integrated with sensing capabilities. Research proposals are solicited in the following areas: (i) Epitaxial growth of low-strain, low defect density silicon carbide by CVD and relevant material characterization for use as solid-state spin qubits in different SiC polytypes and device structures, (ii) Modeling and fabrication of photonic crystal nanostructures in SiC for quantum device development and hybrid GaN/SiC optoelectronic sensors or (iii) Development and demonstration of hybrid devices that integrate quantum, opto-electronic, MEMS and/or power electronic components in SiC on the wafer scale.
Signature Exploitation Reduction
The Applied Physics Branch of the US Army Research Laboratory is offering a post-doctoral fellowship in the area of signature exploitation/reduction. This fellowship requires complete knowledge of the electromagnetic spectrum and the wide range of possible sensors which take advantage of the various signatures of threats and vehicle/building platforms. The focus for sensors is likely to be support for active protection/adaptive armor. Both theoretical and experimental expertise is required of the candidate who should be able to 'think out of the box' and initiate solutions based on an examination of the problem presented and the current state of the art in various technologies. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Located at Aberdeen Proving Ground in Maryland, ARL is the Army's central laboratory with diverse facilities and a dedicated workforce making up the largest source of world-class integrated research and analysis in the Army.
Senior Researcher for Alignment of Science to Concepts
The DEVCOM Army Research Laboratory's mission to operationalize science involves the pursuit and application of scientific advancement to enhance capabilities for the Soldiers of 2040 and beyond. This research associateship focuses on investigating the intersection between Army Concepts and ARL's foundational research competencies. The position requires analyzing how Army Concepts influence foundational research investments and developing strategies to improve the integration between science and Army Concepts. The senior researcher will collect and assess relevant information, formulate and manage strategies to better align scientific research with Army Concepts, and use their experience and knowledge of Army Concepts and science and technology linkages to enable foundational research to better inform and address the future needs of Army forces in an evolving Future Operating Environment. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Semantic World Modeling for Robots
The ARL Research Associateship Program (ARL-RAP) opportunity focuses on developing knowledge representation and reasoning methods that enable robots to understand their environment in semantic terms. Semantics may apply to space, time, causality, commonsense knowledge, communication with humans, and more, with a focus on robots in the Army domain. The research explores adapting existing information and knowledge resources, including representation languages, reasoners, existing ontologies, and knowledge bases to Army needs. Research opportunities exist in multiple areas including ontologies for autonomous robots, efficient reasoning algorithms, knowledge acquisition from existing data sources, high-level reasoning under uncertainty, qualitative reasoning for robots, commonsense reasoning for robots, and experimentation and validation methods in robotics. The research is conducted within the Computational and Information Sciences Directorate (CISD), which focuses on achieving the digital battlefield through sensing, distribution, analysis, and display of information. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Selected participants work with Army Research Laboratory scientists and engineers to help shape and execute research programs developing technologies that will support Army forces in meeting future operational needs.
Scientist/Engineer: Distributed Systems State Estimation
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on distributed systems state estimation within the Electronics for Sense and Control division. This position seeks to enable revolutionary advances in three interconnected research spaces: navigation and localization, small scale autonomous systems, and human physiological state monitoring. The research involves developing novel distributed state estimation methodologies, linear and nonlinear controls integration, computer science and hardware engineering to realize a generalized framework for information acquisition and fusion in uncertain environments. The successful candidate will be expected to lead their own research efforts, publish first author papers in peer reviewed literature, contribute technically to peer reviewed literature in diverse areas, and develop experimental and transition efforts across the team. This opportunity involves a mix of skill sets including developing theories supporting distributed state estimation and validating those theories in hardware, with research conducted fluidly in Linux, ROS, Matlab, and C/C++.
Scalable Interactive Machine Learning for Human-AI Integration in Battlefield Decision-Making
The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) has a research opportunity available in the research and development of scalable interactive machine learning (SIML) systems. In particular, DEVCOM ARL is looking for an outstanding individual to conduct research to enable systems of multiple AI agents to interact and collaborate with multiple humans to solve complex tasks that are not straightforward for humans or AI to accomplish alone. The developed methods will apply to real-world challenges in Command and Control—the process by which military personnel make decisions, order action, and monitor and influence actions—enabling Army personnel to collaborate with a network of AI agents to develop plans of action more efficiently and robustly. The candidate will support the short-term goal of developing a working proof-of-concept system that demonstrates the viability of human-AI integration when scaling the number of AI agents in the system. The candidate will perform algorithm and system development, conduct experiments, publish papers, and integrate ideas and methods with the ongoing efforts of a multidisciplinary research team. This is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Robotics and Artificial Intelligence
This research fellowship involves conducting fundamental and applied research in the field of Robotics and Autonomous Systems (RAS) and Artificial Intelligence/Machine Learning (AI/ML). The fellowship position is based at the United States Military Academy's Robotics Research Center in West Point, New York. Research areas include design and development of robotic prototype systems, multi-agent systems in communications-limited environments, optimization and simulation of robot behaviors, sensor integration and fusion for distributed SLAM, machine perception for object detection and tracking, test and evaluation of robotic systems, development of tactics for employing RAS in military formations, large language models with emergent reasoning capabilities, modeling hierarchical contextual knowledge for complex multi-modal scene understanding, neuro-symbolic architectures for representation and learning, and biologically-inspired metacognitive AI paradigms such as hyperdimensional computing. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. ORAU Fellows at USMA-RRC conduct applied research and engineering on projects aligned with the Army's and DoD's modernization priorities while contributing to the broader scientific community, gaining significant practical exposure on aerial, ground, and aquatic robots.
Robotic Locomotion and Whole Body Manipulation
The Army Research Laboratory Research Associateship Program (ARL-RAP) is pursuing research to increase the dynamic mobility in autonomous robotics platforms to enable agile traversal of complex environments. Physics-based multi-bodied models are used to construct simulations which aid the development of control authorities and fundamental understanding of the dynamics that govern the robotic system. These controls are transitioned to physical platforms where verification and refined tuning are demonstrated. Iterations between the model and physical platform are continued to further expand and improve performance and efficiency. These techniques are used across multiple platforms such as legged robotics and other high degree of freedom limbed systems. The candidate should be aware of techniques for validation and verification of simulations through experiments. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. The Vehicle Technology Directorate (VTD) is the principal Army organization responsible for the pursuit of mobility-related science and technologies leading to advanced capabilities and improved reliability for Army air and ground vehicles. The mission is accomplished through in-house basic and applied research, and from collaborations with other ARL functions, RDECOM, Navy, Air Force, academia and industry leaders.
Resource Constraint adaptive computing: Algorithm and optimization for ARL Autonomy Stack
This internship opportunity from the Army Research Laboratory at Aberdeen Proving Ground is designed for graduate students who are U.S. citizens or green card holders. The ARL team focuses on optimizing computationally expensive perception algorithms within the Autonomy stack for autonomous vehicles. The research addresses the challenge of processing large amounts of sensor data (RGB camera and Lidar) through multiple perception algorithms while operating under strict Size, Weight, and Power (SWaP) constraints typical of tactical unmanned ground vehicles (UGVs). The intern will work closely with ARL researchers to optimize and integrate containerized machine learning algorithms into UGVs, ensuring real-time operation with limited computing resources. Activities include using Python and C++ for algorithm optimization, implementing containerization technologies like Docker, deploying algorithms in ROS environments, and documenting results for technical reports or conference papers. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), which aims to increase involvement of highly trained scientists and engineers in Army-relevant research areas.
Resilient Materials, Devices, and Sensors
This research associateship opportunity is available at the U.S. Army Research Laboratory located at Adelphi, MD. The Energy Sciences Division (ES) is seeking candidates with a strong interest in future energy technologies who have recently studied or are currently studying in engineering or science. Energy demand is expected to increase across the board and the laboratory is working on technologies to harvest local power, condition it efficiently, and store it quickly and for long times. These multi-disciplinary problems require materials, electronics, 3D printing, and design expertise. The ARL Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
Research with the Department of Systems Engineering at West Point
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities at the United States Military Academy's Department of Systems Engineering (DSE). The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. DSE's research program is relevant, interdisciplinary, and innovative, supporting Army and Department of Defense priorities through engaged scholarship and dedicated analytic capability. DSE houses two research centers: The Operations Research Center (ORCEN) and the Systems Design and Analysis Center (SDAC). Research fellows participate in applied research through cadet and faculty-led research projects, ensuring that theory is linked to practice and that cadets are prepared to thrive in complex and uncertain environments. Faculty and students in DSE collaborate on research that advances Army and DoD analytic capabilities, supports operationally relevant innovation, and develops the next generation of leaders and analysts for the Army and the Nation. ORAU Fellows at USMA-DSE conduct applied research and engineering on projects that are aligned with the Army's and DoD's toughest systems engineering, operations research and decision sciences problems. They gain significant experience conducting stakeholder engagement, model development, and decision support.
Research with the Department of Mathematical Sciences at West Point
The Department of Mathematical Sciences at the United States Military Academy conducts research in a wide variety of applied and pure mathematics, applied statistics, data science, operations research, engineering mathematics, computational mathematics, modeling, analysis, optimization, and mathematics education. The program offers varying fellowship opportunities including Senior Fellows, post-Docs, pre-Docs, post-Bacs, and summer internships to those interested in research. Research areas include machine learning and artificial intelligence applications for Army warfighting, data science for health and wellness, multidisciplinary modeling, pure mathematics topics, cost modeling, data fusion, human resources analytics using AI/ML, autonomous systems, cybersecurity, engineering disciplines, and STEM education pedagogy. This opportunity is managed by ARL's Army Research Directorate (ARD) which focuses on exploiting concept development, discovery, technology development, and transition of disruptive science and technology. USMA is the oldest engineering school in the nation, located 55 miles north of New York City in the Hudson Valley, with rigorous programs and a 12:1 student-to-faculty ratio.
Research Scientist in Electrical Carrier Transport Modeling
ORAU has an opportunity working with US DEVCOM Army Research Laboratory (ARL). The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking a talented and motivated Research Scientist to join their team for an exciting project designing state of the art detectors based on colloidal quantum dots coupled to graphene. The position involves developing and implementing models to understand and predict the effects of excitation of the colloidal quantum dots on the transport of current within a graphene strip. This role involves theoretical and computational work, data analysis, and collaboration with experimental teams to validate models and refine approaches. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This fellowship opportunity is within the Electromagnetic Spectrum Sciences research area, focusing on novel approaches to sensing and operating across the entire electromagnetic environment.
Research into Metrics and Performance Analysis in Intrusion
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers challenging research opportunities in continuous monitoring, identifying metrics, developing models, and analyzing performance for intrusion detection systems and networks. Specific research areas include: identifying metrics and continuous monitoring techniques for assessing cyber vulnerability and degree of adversarial activity over wired and wireless networks with distributed intrusion detection sensors; developing experimentally-validated models and computing performance by analyzing, simulating, and/or emulating network traffic, intrusions, false positives and negatives; data fusion, filtering, and secure aggregation in networks with intrusion detection sensors and possibly mobile nodes; and validation methods for intrusion detection models, systems, and tools. This research is conducted within the Computational and Information Sciences Directorate (CISD), which focuses on communications, atmospheric modeling, battlefield visualization, and computing for the digital battlefield. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Research into Intelligent Autonomy of Small Robots
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing computational methods that enable robots to perceive and understand their environment; move, see, orient and collaborate in complex missions with limited human intervention. As the focus is on robots that can be applied to the Army domain, of particular interest are highly efficient, robust, and agile methods that exhibit excellent properties with limited computational power, storage, and bandwidth. Research opportunities exist in areas including robotic autonomy in mixed-initiative operations, collaboration of small robots in communications-limited environments, autonomous navigation at operational tempo, detection and tracking of moving objects, multi-robot object tracking and classification, GPS-denied localization, reasoning over semantic concepts, fusion of information from heterogeneous sensors, optimization of complex algorithms for computationally limited platforms, and experimentation and validation methods in robotics. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Research in smart electric power systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This specific opportunity focuses on research in smart electric power systems, including development and testing of wide area monitoring and control systems, evaluating performance and resilience of controllers, cyber-physical system modeling and state estimation, and anomaly detection techniques using phasor measurement unit data and machine learning/artificial intelligence. The program is offered through the Computational and Information Sciences Directorate (CISD), which conducts research in disciplines relevant to achieving the digital battlefield. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Research Business Transformation
The U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory (ARL) is seeking participants for a Research Business Transformation initiative through the Army Research Laboratory Research Associateship Program (ARL-RAP). This program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The Research Business Directorate (RBD) is launching a new initiative to transform how business is done on a comprehensive level, envisioning new, innovative pathways to success and implementing new authorities, policies, waivers, and tools to reduce barriers to foundational research and increase efficiency and effectiveness to operationalize science at the speed of relevance. This fundamental shift in enterprise business operations is about redefining how we work to keep pace with and outmaneuver our adversaries in a rapidly changing environment. Participants will proactively research, evaluate, and recommend integration of emerging technologies, such as AI, into business operations, collaborate with technical teams to enhance efficiency and decision-making, and work with Data Driven Laboratory initiatives to leverage data for multi-level decision making. The position involves researching and analyzing efforts across business competencies to identify emerging technologies, methods, authorities, policies, and waivers that reduce barriers and increase efficiency.
Reliable Learning Algorithms for Resource Constraint Applications
This research opportunity involves basic and applied research in distributed optimization in contested environments, big-data analytics over resource constraint networks, and distributed resource-aware learning. The project aims at developing new frameworks for iterative learning with reduced computational complexity. Candidates are expected to conduct fundamental research in collaboration with ARL scientists and engineers to build a foundation for distributed machine learning. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program supports researchers in diverse fields including applied mathematics, atmospheric characterization, signal processing, nanotechnology, material science, and computational and information sciences.
Reinforcement Learning for Information Asset Valuation and Selection
This research opportunity is to develop a novel method for information asset selection, filtering, prioritization. Specifically, this opportunity will develop and validate a concept and approach for selecting the most relevant and valuable information for presentation and sharing from a collection of streaming sensor data. This project focuses on utilizing state-of-the-art reinforcement algorithms to 1) dynamically learn from multi-agent actions and context, 2) evaluate the environment and uncertainty, and 3) optimize information sharing and consumption. The key technical areas in this project include reinforcement learning, graphical neural network, information theory, probability, and stochastic process. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This opportunity is within the Computational and Information Sciences Directorate (CISD), which conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital battlefield.
Real-World Neuroimaging Technologies
The Army Research Laboratory Research Associateship Program (ARL-RAP) seeks a Research Associate to work on real-world neuroimaging technologies at the U.S. Army Research Laboratory. Basic science research is needed to address critical knowledge gaps underlying efforts to seamlessly integrate humans and advanced technology for future military and civilian applications. The Real-World Neuroimaging program at ARL has the goal of furthering our understanding of how laboratory-based research findings in human performance translate to real-world situations. The program focuses on developing and executing experimental research which furthers our ability to assess brain activity as it occurs within real-world settings, where neuroimaging conditions are less than ideal and often target cognitive states which are elusive in traditional laboratory scenarios. Example topic areas include: 1) development and testing of novel neuroimaging hardware, such as dry, non-metallic, highly flexible sensors for EEG, ultra-low-power system design, and custom-adaptive cap design; 2) development and use of novel methods and tools for assessing data quality, such as EEG 'phantoms' and new analytical comparison techniques; 3) novel software algorithms for dealing with motion artifacts, improving data SNR, and improving interpretation of noisy data; and 4) methods for displaying and interpreting EEG data in real-time. The Research Associate will assist with all aspects of the process from designing and executing experiments to publishing and presenting findings. Primary location is at ARL at Aberdeen Proving Ground, MD, but could involve travel to partner universities.
Radio Frequency Emitter Detection and Tracking via Passive and Active Techniques
The U.S. Army Research Laboratory (ARL) seeks a highly motivated, well informed, cross-disciplinary and skilled graduate student with experience in digital signal processing (DSP), radio frequency (RF) signal processing, RF waveform design and characterization, and electromagnetic spectrum sensing. This opportunity will involve the design, simulation, and validation of DSP algorithms via Matlab and Python and the integration of the algorithms into existing RF data capture systems. The algorithm development will include signal processing for detection of RF signals, various forms of geolocation via multiple data collection nodes, and signal feature extraction. The opportunity will also involve the collection of RF data with preexisting systems, post-processing this data for algorithm validation and potential real-time implementation of these algorithms. Part of the position will be to learn to use the preexisting radar and RF sensing system to collect data and conduct real-time experiments. This system is based on Xillinx RF system-on-a-chip (RFSoC) technology and has both web based and SSH interfaces. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs. This fellowship opportunity focuses on novel approaches to sensing and operating across the entire electromagnetic (EM) environment, counter-sensing across the EM spectrum, protection from EM effects, and emerging concepts for RF, radars, and electronic warfare (EW).
Army Research Laboratory Research Associateship Program - Quantum Networks
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in quantum networks at the DEVCOM Army Research Laboratory. Experimental research focuses on creation and manipulation of entangled photonic states, entanglement manipulation and characterization, including fundamental properties of communication channels enabling quantum communication, loss and decoherence in quantum state transfer, and entanglement distribution. Theoretical research aims at functionalities of quantum networks for Army-relevant operations that are unattainable by classical systems, including theories and models for understanding quantum-network phenomena, network protocols, algorithms and architectures, and managing protocols for efficient entanglement routing, control and manipulation. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Participants work with ARL advisors and are required to write a research proposal that will be reviewed by the ARL-RAP review panel.
Quantum Information, Sensing and Metrology
A postdoctoral fellowship for a theoretical/computational physicist within the Computational and Information Science Directorate (Network Science Division) of the US Army Research Laboratory. The fellowship focuses on research in quantum information, quantum control, quantum optics, and related fields. Potential research topics include development of novel optimal control methods based on machine learning, development of computer-algebraic systems for modeling quantum networks, use of reinforcement learning for the design of quantum network topologies, and use of optimal control for quantum sensing devices such as atomic interferometers and quantum gyroscopes. The above projects will be conducted in collaboration with MIT, Stanford, and other leading Universities. The fellowship can be renewed yearly up to a total duration of 3 years. The primary research location will be the Open Campus area of the Adelphi Lab Center in Adelphi, MD, in close vicinity to the University of Maryland at College Park.
Planning, Coordination and Logistics of Multi-Agent Heterogeneous Teams
This Post-Doctoral research opportunity is embedded within a team of multi-disciplinary scientists and engineers located at the Army Research Lab at Aberdeen Proving Ground, MD. The team's research focus is on aerial and ground based robotics systems and autonomy with the objective to further the fundamental sciences of these fields as tailored by Army relevant problems and end goals. The opportunity will be formulating research in the area of autonomous multi-agent teams with an emphasis on the energy constraints associated with their mission planning and logistics of operation. The goal of this research is to develop new techniques and algorithms that can better plan the missions of aerial and ground based robotic teams. Research outcomes will be implemented in software to be evaluated in live and simulated environments coordinated with other team members. The researcher will perform research in multi-agent teams of autonomous systems with an emphasis on tasking systems in resource constrained environments, formulate the research space and apply known and new techniques to Army relevant problems for autonomous teams of systems with a focus on fundamental research to push the state of the science. The opportunity additionally includes contributing guidance to the current project team and to external university partners in this field, publishing results to the larger scientific community through formal conference and journal submissions, and supporting demonstrations in simulation and on live systems.
Planning, Coordination and Logistics of Multi-Agent Heterogeneous Teams
This Post-Doc researcher position is embedded within a team of multi-disciplinary scientists and engineers at the Army Research Lab at Aberdeen Proving Ground, MD. The team's research focus is on aerial and ground based robotics systems and autonomy with the objective to further the fundamental sciences of these fields as tailored by Army relevant problems and end goals. This opportunity involves formulating research in the area of autonomous multi-agent teams with an emphasis on the energy constraints associated with their mission planning and logistics of operation. The researcher will perform research in multi-agent teams of autonomous systems with an emphasis on tasking systems in resource constrained environments, formulate the research space and apply known and new techniques to Army relevant problems for autonomous teams of systems with a focus on fundamental research to push the state of the science. The position includes contributing guidance to the current project team and external university partners, publishing results to the larger scientific community through formal conference and journal submissions, and supporting demonstrations in simulation and on live systems. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Physics of wide bandgap and ultra-wide bandgap semiconductor electronic and optoelectronic devices
The U.S. Army DEVCOM Army Research Laboratory (ARL), located in Adelphi, MD outside of Washington, DC, is seeking Postdoctoral Fellows to study the physics of wide bandgap and ultra-wide bandgap semiconductor electronic and optoelectronic devices. Fellows will have the opportunity to conduct their research using a wide variety of experimental capabilities, including ultrafast and continuous wave lasers and other light sources spanning the 200 nm to 2500 nm spectral range and a picosecond ultrafast electron source, coupled to experimental techniques such as time-resolved and continuous wave photoluminescence, cathodoluminescence, electron beam induced current, Terahertz spectroscopy, and other pump-probe photomodulation spectroscopies. The Fellows will also have the opportunity to collaborate with a multidisciplinary team that includes material growth, device fabrication, and both theoretical physics and device modeling, as well as with academic and industrial collaborators. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Physics Based Models for Power and Propulsion Innovations using High Performance Computing
The US Army Research Laboratory, Mechanical Sciences Division, conducts basic and applied research in Turbine Power and Propulsion to address far-term science and technology challenges that are envisioned for the future battlefield environment in Multi-Domain Operations (MDO). This research associateship is a critical part of on-going mission programs towards developing innovative propulsion technologies, including adaptive turbine propulsion, pressure gain combustion, and morphing hypersonic systems for current and future Army vehicles. This research will focus on the development of new physics based computational fluid dynamic models to be deployed on DoD leadership High Performance Computing (HPC) facilities leveraging exceptional resources and teaming with internal and cross-directorate experts in mechanical and computational sciences. This position will also involve collaborations with leading OEMs and academia. The models developed will have direct links to experimental facilities at ARL Weapons and Materials Research Directorate as well as external facilities for validation and concept vetting efforts. Research proposals are invited that advance first principle and engineering models for compressible fluid-dynamics, particle-laden turbulence, fluid structure interactions, and conjugate heat transfer, including Direct Numerical Simulation (DNS), Large Eddy Simulation (LES), or RANS approaches.
Optimization of DNN based computer vision algorithms for resource constrained tactical edge
The Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a research opportunity focused on optimizing deep neural network-based computer vision algorithms for deployment on resource-constrained tactical edge computing devices. Object detection and semantic segmentation-based computer vision algorithms have become essential for visual scene understanding in tactical edge computing. However, these algorithms deploy complex deep neural network architectures that are computationally intensive and not optimized for edge devices with resource constraints. This research project involves profiling several computer vision algorithms and optimizing them for deployment on edge computing platforms. The selected candidate will develop a generalized model switching framework for dynamic loading of models to meet both resource constraints and mission requirements. The research will be conducted through the Computational and Information Sciences Directorate (CISD), which focuses on communications, atmospheric modeling, battlefield visualization, and computing. The participant will collaborate with both internal and external collaborators to advance project goals.
Optimization and Characterization of Metals
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on metallurgical processing and characterization, particularly pertaining to additive manufacturing (AM) and powder metallurgy (PM) processes. Near-net-shape production technologies hold great promise for increasing cost-efficiency of manufacturing through improved feedstock-to-product yields and reducing design-to-product lead times through rapid prototyping and direct digital manufacturing. The project will require working as part of a large application-driven research team to engineer new processes and microstructures with the goal of improving performance. The main focus will be the development of processes and characterization tools to understand and optimize the process-structure-property relationship of metal components produced via advanced manufacturing technologies. This research opportunity aligns with the ARL S&T Campaign in the areas of Metals Additive Manufacturing in an effort to improve the performance, reliability, and versatility of future Army systems.
Novel Optoelectronic Photonic Devices
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity in developing innovative optoelectronic devices and radio frequency-photonic devices. This research involves basic device and material physics studies, as well as prototype device design, modeling, fabrication, and characterization. The program focuses on design and characterization of novel strained semiconductor quantum well heterostructures, epitaxial growth techniques, monolithic integration of high-speed photodetectors with active field-effect transistors, and monolithic integration of passive and active waveguide components. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Selected participants will work with ARL advisors and have access to extensive facilities for material growth, fabrication, and optical and electrical characterization. The program requires participants to write a research proposal after being selected by an advisor, with the proposal subject to review by the ARL-RAP panel.
Nonlinear Optical Cavities for Quantum Networks
A postdoctoral fellowship is open for an experimental physicist within the Computational and Information Science Directorate (Network Science Division) of the U.S. Army Research Laboratory. The fellow will lead a research project focused on the design, characterization, and experimental demonstration of nonlinear optical cavities suitable for controlling and manipulating light in quantum networks. The project will be conducted in close collaboration with MIT, and offers plentiful opportunities for collaboration with other leading universities and government agencies. The primary research location will be the Adelphi Laboratory Center in Adelphi, MD. The fellowship can be renewed yearly up to a total duration of 3 years. Suitable candidates should have a PhD in physics or engineering with a background in quantum optics, integrated photonics, nonlinear optics, or optical cavities. Programming experience in MATLAB or a similar language is mandatory.
Neuromorphic materials and computing Devices and platforms
This research position focuses on low power electronic devices and circuits through the Army Research Laboratory Research Associateship Program (ARL-RAP). As computing reaches its limits due to power scaling challenges of today's transistor technologies, this program develops neuromorphic devices based on ferroelectric FETs and electrochemically gated devices. The opportunity exposes candidates to a multidisciplinary research program spanning materials development, device design and integration, and circuit development. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program helps shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Neuromorphic materials and computing Devices and platforms
This research position focuses on low power electronic devices and circuits within the Army Research Laboratory Research Associateship Program (ARL-RAP). As computing reaches its limits due to power scaling challenges of today's transistor technologies, this program develops new approaches to high performance computing through neuromorphic devices based on ferroelectric FETs and electrochemically gated devices. The opportunity exposes candidates to a multidisciplinary research program spanning materials development, device design and integration, and circuit development. Candidates are expected to have in-depth knowledge of device physics and basic circuit design, with experience in fabrication and characterization of FETs and memory devices, electrical and material characterization techniques, and material growth and device integration techniques such as ALD, sputtering, and UHV deposition. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Neural, physiological, and behavioral time series analyses
This research associateship opportunity seeks a candidate interested in analyses of neural, physiological, and behavioral time series data and their interactions over varying timescales using linear and nonlinear analyses to test hypotheses from competing models of human performance. The ideal candidate will have a background in cognitive neuroscience, electrophysiology, applied mathematics, biomedical signal processing, complex systems, physics, computer programming, and statistics. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The research will be conducted within the Human Research and Engineering Directorate (HRED), ARL's principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. HRED focuses on improving Soldier performance in dynamic and changing battlefield environments, with an emphasis on human-robot interaction, human-informed machine learning, human cognition and adaptive teaming.
Networking, Information Management & Decision Support Using Machine Learning
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in networking and decision support technologies, focusing on developing software algorithms and techniques to support human or machine information interactions for information retrieval, dissemination, analysis and decision making. Research areas include developing algorithmic frameworks for network characterization and optimization, investigating system and network architectural layers, researching information retrieval and dissemination, analyzing and developing network transport protocols, understanding networked information systems, generating computational algorithms for data processing using machine learning models, and developing applications for deterministic and stochastic optimization. The program is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Researchers work with the Computational and Information Sciences Directorate (CISD), which conducts research in disciplines relevant to the digital battlefield, focusing on communications, atmospheric modeling, battlefield visualization, and computing.
Natural Language Processing on Army Operational Data
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on Natural Language Processing applications for Army operational data and providing expert advice to Army acquisition programs. This position is part of ARL's Army Research Directorate, which focuses on exploiting concept development, discovery, technology development, and transition of promising disruptive science and technology to deliver fundamentally advantageous science-based capabilities through the laboratory's 11 research competencies. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Multisensory Integration and Perception
The U.S. Army Research Laboratory (ARL) has research opportunities available in multisensory integration and perception. ARL seeks outstanding Associates to join a team that is advancing empirical understandings and theoretical conceptualizations of human multisensory processing. Experimental approaches focus on developing and utilizing novel technology platforms to examine new multi-sensor combinations and critical issues of multisensory integration in real-world environments. The Associate will pursue well-defined objectives within the broad scope of this program, working within a multidisciplinary team that includes collaborators from domains such as cognitive neuroscience, electrical engineering, computer science, and applied physics or mathematics. The program aims to discover techniques to enable robust, versatile, closed-loop systems that improve performance throughout the sensory-perceptual-motor decision-making cycle by leveraging knowledge of human nervous system capabilities for integrating, interpreting, and utilizing information from the brain, body, behavior, and environment. Modeling efforts focus on cybernetic, systems control theory, or dynamical systems approaches to conceptualizing multisensory integration at the systems level, with an emphasis on nonlinear, adaptive, and/or dynamical models. The Associate will collaborate with team members to design and conduct human subjects experiments, including tests of specific model predictions, integrating ideas and techniques across the foundational knowledge base of human multisensory integration.
Multiscale Deformation Mechanisms due to Ballistic Impact Project
This research opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) focuses on developing new experimental techniques towards improved understanding of underlying material response at the nano and microstructural levels during high loading rates. The project involves tracking and validating multiscale deformation mechanisms in primarily polymeric materials, multilayer polymer composite materials, and polymer nanofibers. Researchers will employ mechanophore based stress-field measurements and digital image correlation methods. The Weapons and Materials Research Directorate (WMRD) aims to enhance the lethality and survivability of weapons systems, and to meet soldier technology needs for advanced weaponry and protection. Research is pursued in energetic materials dynamics, propulsion/flight physics, projectile warhead mechanics, terminal effects phenomena, armor/survivability technologies, environmental chemistry, and advanced materials for armor, armament, missiles, ground vehicles, helicopters, and individual soldier applications. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Multimodal Localization with Autonomy
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research fellowship opportunity focused on developing efficient techniques that exploit heterogeneous networks and autonomy for improved direction of arrival estimation and localization. The research aims to develop novel implementations of accurate localization of mobile robots while navigating unknown environments through NLOS communication, enabling environmental mapping. The program will integrate VHF, RF communication systems and experimental UV-C band communication systems for performance analyses. This fellowship is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program focuses on the Network Cyber & Computational Sciences (NCCS) competency area, which enables and ensures secure resilient communication networks for distributed analytics in Multi-Domain Operations.
Multi-Modal, Multi-Resolution, Multi-Source State Classification and Prediction
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing computational methods to estimate and model a person's state (affective, psychological, physiological state, or their gestures and actions) from sensor data. The research aims to predict a person's next state given their current one and the set of sensor information about them. Research areas include modeling correlations between different output states, integration or fusion of sensor data from multiple sources, processing sensor data of the autonomic and central nervous system in non-stationary settings, real-time classification of streaming multimodal sensor data, state prediction from multimodal sensor data, biologically inspired methods for pattern recognition, and modeling cross modality interactions. This research combines machine classification, EEG/ERP processing, EKG/ICG processing, gesture recognition, neuromorphic computing, and signal processing. The ARL-RAP is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of relevance to the Army. The Computational and Information Sciences Directorate (CISD) conducts research in communications, atmospheric modeling, battlefield visualization, and computing relevant to achieving the digital battlefield.
Multi-modal Sensing and Human-Machine Integration for Adaptive AI in Tactical Environments
The Army Research Laboratory Research Associateship Program (ARL-RAP) has an open position for a postdoctoral research fellow to investigate multi-modal sensor-fusion approaches for understanding human behavior in realistic environments to facilitate human-AI adaptation at the tactical edge. The aim of the project will be to leverage advanced analytics on human-derived signals from diverse systems to passively predict actions and estimate user state such that future AI platforms for dismounted Soldiers can quickly adapt to the changing needs of the Soldier and squad. The research fellow will be a part of a multi-disciplinary team of cognitive psychologists, neuroscientists, engineers, and data scientists that will conduct research to understand the relationship between critical behaviors and relevant data/metrics from wearables (physiological and biomechanical), AR/VR systems, and other off body systems across controlled laboratory studies and operational field exercises. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Multi-Modal Data Analytics
This research opportunity focuses on machine learning for multi-modal data analytics through the Army Research Laboratory Research Associateship Program (ARL-RAP). The student internship involves participation in research and development of machine learning algorithms for multi-modal image and signal processing to enhance surveillance capabilities. Researchers will contribute to areas including detection/localization, segmentation, robust representation, fusion, and classification. The position requires assistance with data collections, data processing, and algorithm research in both theory and application. The program is designed to significantly increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Participants work with ARL scientists and engineers who help shape and execute the Army's program for developing technologies to support future operational needs through research in diverse fields including applied mathematics, digital/optical signal processing, nanotechnology, material science, communication and networking, and computational and information sciences.
Modeling and Simulations of Armor Ceramics: Atomistics to Mesoscale Microstructure
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers interdisciplinary research opportunities in materials modeling at length scales ranging from atomistics to mesoscale microstructures to support discoveries relating ceramic processing-structure-property relationships. These simulations seek to uncover fundamental mechanisms controlling microstructure evolution and mechanical response of armor ceramics to provide insights for future material design and predict performance. Areas of research include thermodynamic modeling of grain boundary complexions, elucidating the role of defects and grain boundary character on grain growth and mechanics, mesoscale modeling of microstructure evolution and mechanics, bridging simulation scales by incorporating microstructure effects into continuum performance models, integrating material simulations with experiments, developing virtual materials characterization techniques, and quantifying variability and uncertainty of models. Research is performed in collaboration with other computational and experimental teams within ARL and academia at Aberdeen Proving Ground in Maryland.
Modeling and Simulations of Active Protection Systems for Combat Vehicles
The Applied Physics Branch of the US Army Research Laboratory is seeking applicants to perform research in Active Protection Systems (APS) for combat vehicles. The program supports two research categories: (1) APS model verification, validation and uncertainty quantification, or artificial intelligence based cooperative protection network for maximum survivability and minimum collateral damages (requiring Ph.D. in applied math, computer science, physics, engineering or related discipline); (2) Sensor modeling, countermeasure modeling, or database management (requiring strong C++ programming skills and/or database design knowledge, with undergraduate junior level or above in engineering, computer science, physics or related discipline). All research is performed at Adelphi Laboratory Center in Maryland through the Army Research Laboratory Research Associateship Program (ARL-RAP), which is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. The program focuses on developing technologies to support Army forces in meeting future operational needs through scientific research and technological developments in diverse fields.
Modeling and Simulation, Design, and Testing of Photonic Integrated Circuit (PIC) Materials, Components, or Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a postdoctoral research fellowship opportunity with the Integrated Photonics Sensors team at DEVCOM Army Research Laboratory. Participants will perform independent research and development in modeling and simulation, design, and testing of Photonic Integrated Circuit (PIC) materials, components, or systems under the mentorship of the team leader. Research topics include high-speed modulators, c-band, o-band, and 780 nm PIC components and systems, PIC interface electronics, Free-space Optical Communications, bio or chemical sensors, and other future Army PIC applications. The program is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Participants will receive on-site training including cleanroom tools and processes, and will have opportunities to author presentations, publications, patents, contribute to DOD reports, and attend conferences and government meetings where appropriate.
Modeling and Simulation of Energetic Materials
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on developing computational capabilities to acquire fundamental understanding of the effects of microstructure on the dynamic response of energetic materials. The project involves large-scale molecular dynamics and coarse-grain simulations to develop a predictive understanding of shock interaction with microstructure, energy localization, and chemical response. Participants will have the opportunity to interact with a wide range of experimentalists and theoreticians in academia, industry and national laboratories. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Modeling and Simulation of Active Armor Concepts for Combat Vehicles
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking applicants to perform research supporting active armor concept development for combat vehicles. Active armor is a class of protection systems that engage as opposed to anticipate the threat. The research focuses on analytical tool development coupled with modeling and simulation (M&S) that assess various active systems/concepts/configurations to inform Army technology developers and decision makers. This includes developing models that capture threat intercept geometry and kinematics specific to various countermeasure configurations, semi-empirical models that capture first-order engagement physics for design optimization, and higher resolution efforts that identify promising attributes, configurations, and requirements. Research may be chosen from one or more of the following areas: M&S code functionality; intercept dynamics; sensor and tracking modeling; countermeasure M&S mechanics; model verification, validation, and uncertainty quantification; and artificial intelligence based cooperative protection network for maximum survivability and minimum collateral damages. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. All research will be performed at ARL-Aberdeen Proving Ground, MD. This is a research associateship program that provides opportunities for scientists and engineers to conduct advanced research in weapons and materials research, with a focus on enhancing lethality and survivability of weapons systems.
Military Installation Resilience through Resource Recovery and Waste-to-Energy Systems
This research fellowship involves conducting applied research in Environmental Engineering, Environmental Science, and Civil Engineering at the United States Military Academy's Center for Environmental and Geographic Sciences in West Point, New York. The fellowship focuses on military installation resilience through resource recovery and waste-to-energy systems. Research areas include biotechnology, environmental biotechnology and microbiology, environmental modeling with AI/ML, water and wastewater treatment, anaerobic digestion, membranes and membrane bioreactors, organic waste-to-energy, biomethane production, resource recovery, bioreactor design and optimization, technoeconomic assessment, lifecycle analysis, and energy security and sustainability. ORAU Fellows at USMA-CEGS conduct fundamental and applied research on projects aligned with Army and Department of Defense priorities while contributing to the broader scientific community. The fellowship is offered through the DEVCOM Army Research Laboratory in partnership with ORAU and ORISE.
Metals Additive Manufacturing
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on metals additive manufacturing (3D printing). This position aligns with ARL's Science and Technology Campaigns in Manufacturing at the Point of Need, Lethality and Protection, and Sciences for Maneuver. The research focuses on developing effective numerical and experimental methods for quantifying properties of additively manufactured parts during the printing process. The work involves understanding relationships between processing, microstructure, and properties of materials to drive development of future metallic feedstock alloys designed specifically for additive manufacturing. The program is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Researchers will work with the Weapons and Materials Research Directorate (WMRD) at ARL to enhance lethality and survivability of weapons systems and meet soldier technology needs for advanced weaponry and protection.
Meta-Optics with Unusual Physical Properties for Novel Device Concepts
The U.S. Army Combat Capabilities Development Command Army Research Laboratory is offering a postdoctoral research associateship through the Army Research Laboratory Research Associateship Program (ARL-RAP). The postdoctoral researcher will work on cutting-edge meta-optics device research including high-frequency electromagnetic simulations and optimization, nano- and micron-scale device fabrication, and optical and electronic device measurements. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This opportunity is within the Photonics, Electronics, & Quantum Sciences research area, focusing on materials and devices intended for achieving photonic, electronic, and quantum-based effects. The advisor for this position is Sang-Yeon Cho.
Materials Under Extreme Lubricating Conditions
This research fellowship opportunity focuses on understanding the physical, chemical, and tribological processes underlying material damage in fuel-lubricated mechanical components. Many Army ground and unmanned aerial vehicles are powered by internal combustion engines designed for diesel fuel but operated on fuels that do not provide adequate lubricating ability, resulting in premature failure of fuel components. Research will seek to identify and characterize materials and material treatments that are more robust under fuel-lubricating conditions, and determine the properties and chemical interactions that allow those materials to survive lubrication with low viscosity and lubricity liquids. The candidate will work in a highly collaborative team environment with ARL engineers and scientists to enable solutions for robust and flexible Army air and ground propulsion systems. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Materials Research for Impact Protection
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking applicants in the area of mechanics of materials for the Composites and Hybrid Materials Branch. This research opportunity involves tasks geared towards the development and characterization of personal protective equipment and materials optimized for protection against blunt impact. The position is particularly interested in individuals with experimental and/or computational expertise relevant to head injury and impact biomechanics. ARL is a world-leader in fundamental research on high performance protection materials, and selected participants will contribute to the Army's program for developing technologies that support future operational needs. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army, focusing on diverse fields including material science and technology, nanotechnology, multifunctional technology, and related disciplines.
Materials Process Modeling with Machine-Learning
This research opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) encompasses modeling of quantitative parts performance relationships utilizing state-of-the-art machine-learning (ML) technologies and tools. In traditional design, process optimization and part optimization are performed independently, ignoring the inherent dependence of materials and part properties on processing conditions. In this project, ML models will be used to extract cross-property and inverse functions in a holistic framework of the scientific design and production process. Candidates well-versed in the application and/or development of probabilistic graph models, dimensionality reduction and featurization, or neural networks for materials science or process modeling are being sought. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Materials for Soldier Physical Augmentation
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking a motivated engineer to work on developing new multifunctional materials and structures to enhance the mobility, lethality, and survivability of the dismounted Soldier. These materials will be designed to enhance biomechanics and reduce mechanical injury. Research themes include passive energy dissipating materials, actuator materials, and novel composite structures. The selected individual will perform design, fabrication, and testing of the materials and mechanisms. Candidates should have a strong background in mechanical design, fabrication, machining, CAD, and preferably LabVIEW or MATLAB programming. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
Machine Learning for State Estimation and Decision Propagation
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a postdoctoral fellowship position in Machine Learning for State Estimation and Decision Propagation. This opportunity focuses on Network of Networks to enable novel methods for agent learning, adaptation, and model distribution in highly heterogeneous environments where humans are coupled to machine decision agents. The research will develop novel theories, experiments, and hardware solutions to enable hierarchical and deeply integrated Human-in-the-Loop (HIL) reinforcement, transfer learning for heterogeneous agents, extending methods from simulation demonstrations to hardware in the loop mixed systems building on advances from projects like Google DeepMind. The selected postdoctoral fellow will lead their own research efforts within a highly collaborative research group, with expectations to publish first author efforts in peer reviewed literature and contribute to diverse research areas. The work involves a mix of skill sets including deep understanding of machine learning, transfer and reinforcement learning techniques, developing theories supporting multi-agent learning, and transfer of learned behavior across heterogeneous agents. Research will be conducted using Python, Linux, ROS, Matlab, and C/C++. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program supports Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields including applied mathematics, digital/optical signal processing, nanotechnology, material science, computational and information sciences, among others. This position is within the Sensors and Electron Devices Directorate (SEDD), the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum. The advisor for this opportunity is Joseph Conroy.
Machine Learning for Autonomous Agents
The ARL Research Associateship Program (ARL-RAP) opportunity focuses on the development of computational methods that can be used both to build fully-autonomous artificial agents and also to allow these agents to successfully adapt to new tasks and environments. In particular, this opportunity emphasizes methods that allow artificial agents to learn both from their own experience (e.g., reinforcement learning), and also from human interaction (e.g., imitation learning). Example applications of interest include autonomous vehicle navigation and multi-agent command and control. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields. This position is within the Computational and Information Sciences Directorate (CISD), which conducts research in a variety of disciplines relevant to achieving and implementing the digital battlefield.
Machine Learning and Artificial Intelligence Applications in Power Electronics and Power Devices
The DEVCOM Army Research Laboratory is seeking a qualified researcher to perform work in the areas of machine learning (ML), artificial intelligence (AI), power electronics and power semiconductor devices through the Army Research Laboratory Research Associateship Program (ARL-RAP). The selected applicant will perform research in power semiconductor module-level AI/ML implementation on embedded systems. These systems will utilize new and existing sensor devices and techniques to allow the module to autonomously alter its trade space parameters. Responsibilities include performing an extensive literature review of existing AI/ML algorithms, designing and building power semiconductor module prototypes with embedded computational power to execute AI/ML algorithms, implementing AI/ML algorithms in the embedded system, setting up a suitable testbed to analyze and validate the benefits of the AI/ML implementation, and writing reports and making presentations to document research outcomes. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Limbed Robotics: Dynamic Whole-Body Mobility and Manipulation
The Army Research Laboratory Research Associateship Program (ARL-RAP) is pursuing research to increase dynamic mobility and manipulation capabilities of autonomous limbed robots. The goal is to facilitate robust autonomous behaviors for agile traversal and manipulation in complex environments. Physics-based, multi-bodied models are used to construct simulations that aid the development of control authorities and fundamental understanding of the dynamics that govern the robotic system. Behavior development can be model-based, leverage machine learning tools, or combine approaches. These techniques are used across multiple platforms, including wheeled, aerial, quadrupedal, and bipedal systems with or without manipulators. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from Academia and Industry in scientific and technical areas of interest and relevance to the Army.
Lightweight Super Alloy Materials and Manufacturing Science
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing low density, high specific strength aluminum alloys for propulsion systems. The research aims to create novel aluminum alloys capable of maintaining strength, dimensional, and microstructural stability at temperatures greater than current materials to enable more reliable and efficient propulsion systems. Areas of research include alloy design and synthesis, microstructural evolution characterization, property to structure correlation, processing effects on microstructure, and material property determination. The candidate will work closely with ARL-CISD engineers and scientists to develop knowledge and technologies relating to aluminum superalloys that will provide operational reliability, efficiency, and flexibility to Army air and ground propulsion systems. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Learning-based Modeling Approach for Information Asset Valuation and Selection
This research opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) focuses on developing novel methods for information assets selection and content filtering from high dimensional data. The research will develop and validate an approach for context aware and adaptive learning models for selecting the most relevant and valuable information assets from high dimensional streaming data and quantification approaches to confidence levels on the models. The project specifically focuses on utilizing state-of-the-art machine learning algorithms to dynamically adapt to, or learn from human or agent actions and contextual situations and environments. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The research will be conducted within the Computational and Information Sciences Directorate (CISD), which conducts research in disciplines relevant to achieving the digital battlefield, including communications, atmospheric modeling, battlefield visualization, and computing.
Investigation of Variable Energy Assisted Compression Ignition
The DEVCOM Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a research opportunity focused on Multi-fuel Capable Hybrid Electric Propulsion for unmanned vehicle applications. This position will investigate Variable Energy Assisted Compression Ignition (VEACI) technologies to enable adaptive propulsion with a wider range of fuels for small engines. The selected candidate will characterize limitations of energy addition technologies, develop their capabilities and control systems, and integrate ignition/combustion sensing and control architecture. The research aims to provide operational flexibility to Army air and ground systems through improved propulsion efficiency and multi-fuel capability. The ARL-RAP program is designed to increase involvement of highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Participants work closely with ARL engineers in diverse fields including combustion processes, propulsion, material science, nanotechnology, and computational sciences.
Integrated Photonics Sensors
The Army Research Laboratory Research Associateship Program (ARL-RAP) postdoctoral position focuses on developing wearable photonic integrated circuit (PIC) sensors for chemical and biological detection. The Integrated Photonics Branch in the Photonic, Electronic and Quantum Sciences Division seeks a researcher to work on wearable sensors for continuous sensing of chemicals, small molecules, and proteins. The project aims to develop a prototype and/or deployable system for health diagnostics and continuous monitoring in areas such as sports medicine, performance, safety, and health diagnostics. Current areas of interest include recognition element integration, microfluidics, circuit design, and computer interfacing. The successful candidate will assist in developing wearable PIC sensors with integrated electronics, characterize and optimize films/components for sensing requirements, and work with surface modifications and polymer deposition. This position provides an excellent opportunity to develop skills in silicon photonics and prototyping while collaborating with ARL researchers and other DoD institutions.
Integrated Optics for Communications and Phased Array Antenna Control
The Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a postdoctoral research opportunity in integrated optics for communications and phased array antenna control. The research focuses on the design, fabrication, and characterization of novel waveguide architectures for applications in communication (de)multiplexing and phased array antenna control. The program investigates sophisticated functionality achieved with monolithic integration of waveguide couplers, delay lines, modulators, and detectors, particularly InP-based, monolithically integrated photonic integrated circuits using selective area epitaxial growth. Key technical issues include modeling and fabrication of broadband (>20 GHz) novel RF-photonic devices, as well as developing the integration technology of these photonic devices. The research is conducted at the Sensors and Electron Devices Directorate (SEDD), the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This postdoctoral opportunity provides an exceptional environment for conducting cutting-edge research in RF photonics, integrated optical systems, and novel opto-electronic devices.
Information Science/Human Information Interaction Research
A fellowship opportunity is available with the U.S. Army Research Laboratory's (ARL) Computational and Information Sciences Directorate (CISD) located in Adelphi, MD. ARL is seeking a postdoc with a background in computational recommendations, machine learning, and statistical analysis. Research opportunities are available to develop methods to efficiently create algorithms and programs that enable efficient computational recommendations by capturing individual characteristics of users, detailed cognition of users including domain knowledge and situational awareness, user behavior, and decision outcomes. Research will ultimately allow development and deployment of intelligent Command and Control systems and platforms that incorporate user preferences and machine learning explanation. Research requires extensive experience in interactive visual systems, machine learning, and statistical analysis of data including data from user-studies. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Hybrid manufacturing of novel RF electronic circuits
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on modeling and simulating useful 3D RF structures intended for manufacturing on direct-write tools which have integrated pick-n-place and milling capabilities. The project requires RF structures to be tested, verified, and optimized with simulations such as HFSS. Knowledge on manufacturing volumetric circuits is a requirement to complete this project. The research will be conducted within the Sensors and Electron Devices Directorate (SEDD), the Army's principal center for research and development in the exploration and exploitation of the electromagnetic spectrum, including radio frequency, microwave, millimeter-wave, infrared, visible, and audio regions. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Selected participants will work with ARL scientists and engineers on cutting-edge research in 3D printed circuits, hybrid circuits, 3D slicing, RF testing, and RF simulation.
Human-in-the-Loop Reinforcement Learning for Real-World Robotics Applications
The Army Research Laboratory (ARL) has a research opportunity available in the research and development of human-in-the-loop reinforcement learning (RL) systems. Specifically, ARL is looking for an outstanding individual to advance development of human-in-the-loop deep reinforcement learning techniques for solving complex, real world robotics applications (such as obstacle avoidance, path navigation and grasping tasks). A successful candidate will have expertise in one or more of the following areas: Robotics, statistical classification and machine learning methods, deep reinforcement learning, optimal control, experimental design, and computer programming. Emphasis will be on translational research and technology development that will leverage current internal ARL research on human-in-the-loop RL. Candidate will support the short-term goal of developing a working proof-of-concept system that demonstrates the viability human-in-the-loop RL control in robotic environments. The candidate will perform system development, conduct experiments, publish papers, and integrate ideas and methods with the ongoing efforts of a multidisciplinary research team. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), which is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Human in the Loop Optimization of Adaptive Human-Technology Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a postdoctoral/research fellow position focused on the development and implementation of EEG-based, passive brain-computer interfaces (BCIs) for optimization of human-machine teams, such as exoskeletons for physical augmentation in defense applications. The aim is to leverage EEG signals and other biosignals to passively estimate the user's state (cognitive load, physical load, perceived error) to facilitate interaction between humans and adaptive systems. The fellow will be part of a multidisciplinary team of neuroscientists, biomedical/mechanical engineers, and biomechanists working at the intersection of computational neuroscience, mobile brain-body imaging, and human machine integration research to implement closed-loop, passive BCIs to achieve human-system mutual adaptation. The position supports the goal of developing a test bed to demonstrate and enable research in the area of human in the loop optimization of adaptive human-system teams. The postdoctoral fellow will have the opportunity to design and carry out human subjects experimentation to uncover novel biosignal based metrics that track human-system performance in mobile scenarios.
High-Throughput Structural Alloy Development
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in high-throughput structural alloy development integrating computational and experimental techniques across length-scales from atomistic to macroscale. The program promotes tiered research using low-cost techniques broadly applied initially, followed by down-selection of compositions and/or processing conditions for higher value tests and characterization. This is achieved through integrated computational materials engineering (ICME) approaches combining experimental and computational tools. Research involves computational methods including high throughput density functional theory (DFT) for novel phase discovery and CALPHAD for thermodynamic phase stability prediction. Experimental methods include metal alloy synthesis and processing, mechanical testing, and characterization of phases and microstructures. Materials systems of interest include steel, aluminum, titanium, cermets, and multiprinciple element alloys (MPEAs)/high entropy alloys (HEAs). The program is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army. Applicants are sought for a range of projects with experience levels from current B.S. students to senior researchers, with project duration determined on a case-by-case basis.
High-speed Camera Pixel Analysis for Simultaneous Temperature and Detonation Velocity Imaging
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on high-speed camera pixel analysis for simultaneous temperature and detonation velocity imaging. This research position is located at Aberdeen Proving Ground in Maryland at the U.S. Army Research Laboratory (ARL). The project involves decomposing high-speed color movies (up to 1M fps) into their blue, green, and red matrix components, using relative intensities to create temperature 'movies' of detonation events. These temperature movies are then used to calculate the velocity of detonation fronts and fireball expansion velocities for explosions. This work represents the first time that simultaneous imaging of temperature and shock velocity has been attempted, building on imaging techniques developed at ARL for single-camera imaging pyrometry. The research aligns with ARL's core competency in Ballistics Sciences, focused on gaining greater understanding and discovery of mechanisms and generating concepts and emerging technologies that support lethality and protection systems. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
High-Performance Composites Processing, Structure, Property & Performance Engineering Studies
This research associateship position requires hands-on research in the area of high-performance fiber composite materials such as carbon-carbon composites and ultrahigh molecular weight (UHMWPE) fiber-reinforced composites. The research involves processing carbon-carbon or UHMWPE fibers and films using various process parameters and studying the structures evolved across length scales using characterization techniques including spectroscopies (FTIR, RAMAN, X-ray diffraction) and thermal analyses (DSC, DMA, TGA). The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The program focuses on materials and related manufacturing methods emphasizing mechanical response and performance extremes, including active, adaptive, and flexible/soft materials, as well as novel manufacturing science for energetic materials. Participants work with ARL advisors to conduct research that helps shape and execute the Army's program for developing technologies to support future operational needs.
High Power Solid-State Laser Science and Technologies
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in high power solid-state laser science and technologies. This position focuses on enabling technologies for high power solid-state lasers to meet the needs of the Army and other armed services. Research areas include power scalable gain media in Near- and Mid-IR, advanced thermal management, and beam quality improvement using ceramic gain media and cryogenic temperatures. Particular emphasis is placed on laser operation at wavelengths near 1.6 microns in Er-doped solids for improved eye safety, as well as low-phonon laser materials for 3-5 µm wavelength range operation. The research also investigates fiber-based gain media, special materials and laser architectures for heat removal, and beam correction techniques based on stimulated light scattering. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Participants work with the Sensors and Electron Devices Directorate (SEDD), which is the Army's principal center for research and development in electromagnetic spectrum exploration and exploitation. The laboratories are equipped with a range of laser and spectroscopic tools including diode lasers, fiber-coupled systems, spectrometers for absorption and emission studies, cryostats, and thermal conductivity measurement setups. Selected participants will work under the guidance of ARL advisors and will be required to write a research proposal addressing specific research areas at ARL. The program aims to develop technologies that will support Army forces in meeting future operational needs through scientific research in diverse fields including material science, nanotechnology, optical signal processing, and advanced photonics.
High power composite thermal energy storage
The Thermal Sciences & Engineering Team in the Energy Sciences Division of DEVCOM Army Research Laboratory (ARL) has an exciting internship opportunity tailored for PhD students in Mechanical Engineering, Aerospace Engineering, Physics, Chemistry, and related fields. The focus of this internship is on phase change composites with high thermal conductivity—an emerging field with immense potential for innovation and advancement. As an intern, you'll collaborate with top researchers (both within ARL and across the research community), contributing to the development and discovery of materials, composites, and use cases that could revolutionize thermal management systems and energy storage solutions. Your experiences in this internship will be diverse, ranging from modeling, to fabrication, to testing. You'll conduct experiments to explore the thermal properties of these composites under various conditions, synthesizing and fabricating materials using advanced techniques such as nanomaterial integration, additive manufacturing, photolithography, and advanced machining. This internship offers a unique opportunity to apply your Mechanical Engineering studies to Army-relevant challenges, whether it's understanding heat transfer mechanisms or designing experiments to test hypotheses.
Heterogeneous operating in dynamic and unstructured environments
This research opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) develops computational methods that enable robots to perceive and understand their environment; move, see, orient and collaborate in complex missions with limited human intervention. As the focus is on robots that can be applied to the Army domain, of particular interest are highly efficient, robust, and agile methods that exhibit excellent properties with limited computational power, storage, and bandwidth. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Research opportunities exist in areas including robust perimeter defense systems, robotic autonomy in mixed-initiative operations, collaboration of heterogeneous robot teams in communications-limited environments, autonomous navigation at operational tempo, multi-robot object tracking, GPS-denied localization, reasoning over semantic concepts, and decision-making algorithms for human-robot collaborative tasks. The Army Research Laboratory's Army Research Directorate (ARD) focuses on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver fundamentally advantageous science-based capabilities. The Science of Intelligence Systems (SIS) division explores foundational concepts and builds cumulative capabilities to simultaneously address multiple axes of complexity for future Robotics and Autonomous Systems (RAS) operational concepts. Selected participants will work under ARL advisors Carlos Nieto and Jeffrey Twigg, conducting research in robotics, autonomous systems, computer vision, artificial intelligence, and related fields. Fellows will contribute to advancing Army capabilities in robotic systems operating in complex, dynamic, and unstructured environments.
Army Research Laboratory Research Associateship Program - Heterogeneous operating in dynamic and unstructured environments
The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This specific opportunity focuses on developing computational methods that enable robots to perceive and understand their environment; move, see, orient and collaborate in complex missions with limited human intervention. Research areas include robust perimeter defense systems, robotic autonomy in mixed-initiative operations, collaboration of heterogeneous robot teams in communications-limited environments, autonomous navigation at operational tempo, detection and tracking of moving objects from stationary and moving robots, multi-robot object tracking, GPS-denied localization of robots and objects in the scene, reasoning over semantic concepts, fusion of information from heterogeneous sensors for robot missions, optimization of complex algorithms for computationally limited platforms, experimentation and validation methods in robotics, adaptive sampling of information in decision-making, decision-making algorithms for human-robot collaborative tasks, game theory applied for multi-agent learning, and distributed optimization communication for collaborative multi-robot tasks. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
Growth, characterization, and structure-property-function relationship studies
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on synthesis/growth and characterization of hybrid nano-structures, including semiconductor and metal quantum clusters, two-dimensional nanostructures (graphene, borene, phosphorene, antimonene, BN and transition metal chalcogenides) and their hetero-structures; Bio-Nano structures, including protein and nucleic acid templated nanomaterials as multifunctional platforms. The research involves structural characterizations including electron microscopy (Transmission, scanning), surface probe microscopies (scanning tunneling and atomic and magnetic force), x-ray photoelectron spectroscopy, UV-Vis and photoluminescence spectroscopies. Property characterizations include electron transport, thermal transport, and photo-induced phenomena. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Genetic Engineering of Robust Microbial Chassis for Advanced Sensing Applications
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity to lead independent research efforts in the development of bi-directional communication between microbes and abiotic substrates facilitated through a synthetic biology approach. This position focuses on harnessing and controlling microbes as a critical component in the development of fieldable living materials. The successful applicant will lead engineered robust novel microbial chassis for bi-direction communication in living materials for sensing applications. The research is conducted within the Synthetic Biology Tools Branch of the Human Research and Engineering Directorate (HRED) at DEVCOM Army Research Laboratory in Adelphi, MD. The position involves developing novel synthetic biology approaches, workflows, and high throughput assays using state-of-the-art technology. The initial appointment is for 12 months with potential renewal based on performance and funding availability. Participants receive a monthly stipend commensurate with educational level and experience.
Game Theory and Machine Learning for Cyber Deception
This research opportunity is to develop novel methods for cyber deception. The candidate will be responsible for leading the design, development, publication, and prototyping of novel adaptive, proactive, and reactive cyber deception systems to ensure authentic, accurate, secure, and reliable communication networks. The developed models should focus on the generation, deployment, design, and reconfiguration of decoy devices such as honeypots, honeynets, honey-tokens, etc. Algorithms should apply to complex adversarial decision-making based on game theory, reinforcement learning, and utilizing state-of-the-art AI algorithms to dynamically adapt to, and learn from human or agent actions and contextual situations and adversarial environments. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This fellowship opportunity is within the Network Cyber & Computational Sciences (NCCS) division, which focuses on enabling and ensuring secure resilient communication networks for distributed analytics in Multi-Domain Operations. The ideal candidate will be interested in developing novel AI algorithms and decision theories based on cross-disciplinary approaches. This role requires experience in Game Theory, Multi-agent Reinforcement Learning, and Machine Learning. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Fuel Composition Effects on Ignition and Combustion Processes
This research associateship opportunity through the Army Research Laboratory Research Associateship Program (ARL-RAP) involves fundamental combustion research to gain insight into the ignition process. Candidates will examine a range of fuels in order to characterize the effects of key physical and chemical parameters. Potential diagnostic techniques include rapid compression machines and shock tubes to isolate reaction chemistry; optically accessible reaction chambers and engines to investigate turbulent flow combustion; and detailed laser based diagnostics to probe combustion radical formation. The candidate will collaborate closely with other combustion scientists to create a broader knowledge base of the ignition process across different regimes. This understanding will help enable the creation of advanced Army propulsion systems which can tolerate a wide range of fuel property variations. Research locations include Aberdeen Proving Ground and ARL-Central. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Foundations of Learning Systems Research
Machine learning is expected to play a key role in future Army autonomous systems, both virtual and robotic. This research opportunity at the U.S. Army Research Laboratory (ARL) emphasizes mathematical development of new machine learning algorithms, with a particular emphasis on kernel and Bayesian methods, and their co-development with deep signal representations such as auto-encoders or wavelet scattering transforms. These will be coupled with adaptive control (iterative learning control), reinforcement learning, and hierarchical scenario-based decision systems such as random forests. The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the digital battlefield, with problems addressing the sensing, distribution, analysis, and display of information in the modern battle space. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Flash Ablation Metalization of 3D Printed Components
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research fellowship focused on Flash Ablation Metalization (FAM), a newly invented approach for increasing the conductivity of 3D printed electronics by an order of magnitude or more through exposure to intense white light pulses. The participant will study Flash Ablation Metallization, work on understanding and improving the process, and develop army-useful prototypes using this technology. This opportunity is within the Sensors and Electron Devices Directorate (SEDD), the Army's principal center for research and development in electromagnetic spectrum exploration and exploitation. SEDD conducts research in laser sources, RF sources, IR sensors, signature detection, target imaging, and electromagnetic protection. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest to the Army. Participants work with ARL scientists and engineers on technologies supporting future Army operational needs in fields including material science, nanotechnology, signal processing, and computational sciences. Selected participants must submit a research proposal to the ARL-RAP review panel outlining their research objectives, methodology, expected completion period, background preparation, and motivation for the research.
Faculty Fellowship for conducting AI Model Optimization Research for Inference Acceleration in Edge Computing Environments
The Army Research Laboratory Research Associateship Program (ARL-RAP) Faculty Fellowship opportunity focuses on developing theoretical and experimental approaches for generalized AI model inference acceleration on resource-constrained heterogeneous edge computing platforms. The research aims to predict optimal AI model architecture through neural network architecture search (NAS) to achieve expected inference acceleration, covering both convolutional neural networks and large language models. The fellowship is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Participants work with ARL scientists and engineers who help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs. The research covers developing mathematical models to understand trade-offs between accuracy, latency, and compression of optimized AI models; investigating state-of-the-art quantization and model pruning approaches; formulating mathematical theoretical foundations to guide optimization; and developing layer-wise gradual optimization approaches.
Experimental simulation development and support for Human-Autonomy Teaming
The goal of this project is to develop, modify, and support ANVEL and Unreal simulation environments and scenarios for use in Human-Autonomy Teaming research, including rapid creation/adaptation of simulated physical assets, environments, and vehicles for use in answering specific research questions. The ideal candidate will have experience in computer science and game or simulation development, including Unreal engine programming skills, as well as an interest in applying these skills to Army-relevant research questions. This is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The Human Research and Engineering Directorate (HRED) is ARL's principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming, focusing on how to improve Soldier performance in a dynamic and changing battlefield environment.
Experimental Shock Physics /Energetic & Explosive Materials
The Army Research Laboratory Research Associateship Program (ARL-RAP) seeks exceptional post-doctoral candidates in experimental shock physics to conduct research at Aberdeen Proving Ground in Maryland. The research focuses on developing understanding of dynamic response of materials to extreme pressure/temperature conditions for model validation. Research activities involve elucidating the relationship between structure and properties of materials under extreme conditions as it applies to detonation phenomena. Relevant diagnostic techniques include high-resolution spectroscopy, time-resolved emission spectra, ultrafast pump-probe techniques, high-speed imaging, and optical pyrometry. The opportunity entails research as part of a large multi-disciplinary program with close integration of experimental and theoretical teams. Research activities include development of experimental techniques for investigating material dynamics under extreme conditions, such as laser-launched flyer plate experiments for initiation of energetic materials, laser-induced shock initiation, and measurements of equations of state for new materials using both static and dynamic experiments. This research aligns with the ARL S&T Campaign in Sciences for Lethality and Protection/Ballistics and Blast: Weapons and Energy Projection.
Engineer/Scientist Fellowship: Sensor Modeling and Distributed Systems State Estimation
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a fellowship opportunity for an engineering research scientist/engineer to research continuous monitoring of Soldier variability for continuously adaptive technologies. This position focuses on developing novel theories, experiments, and hardware solutions for modeling and measuring individual sensors across a deformable, distributed frame (e.g., a human) that are part of a distributed heterogeneous sensor system. The fellow will work to remove individual sensor-induced measurement noise and generate robust, resilient state estimates at the individual level. The fellowship involves collaboration on longitudinal human subjects research data collection, analysis, and development of novel technologies and theories. The fellow will be expected to publish first-author efforts in peer-reviewed literature, contribute technically to diverse peer-reviewed publications, and develop experimental and transition efforts. This opportunity requires a mix of skill sets including developing theories supporting distributed state estimation and validating those theories in hardware, with research conducted in Linux, ROS, Matlab, and C/C++. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Endogenous & exogenous sources of variability
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on understanding how naturalistic search behavior is guided by the relative influence of task specific demands and features of the environment. This research opportunity addresses critical gaps in understanding concerning the interactive role of visual salience (bottom-up), task goals (top-down), and arousal (internal state) on target detection during overt visual search. Successful candidates will be involved in all aspects of scientific process from experimental design, data acquisition and analysis, and presentation and publication of results. This project leverages behavioral, eye tracking, and electophysiological methods to systematically investigate visual perception using both constrained and real-world tasks, leading to an enhanced understanding of visual search in everyday environments. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Dynamic Simulation, Validation, and Aeromechanical Analysis of Novel UAS Concepts
This Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity involves aeromechanics research and development in support of real-time dynamic modeling and simulation of small to mid-scale autonomous Unmanned Aerial Systems (UAS). The work typically involves implementation, validation, and application of first-principles methods for rotor mechanics to capture static and dynamic response, power requirements, handling qualities, and additional parameters of interest for novel UAS configurations. Focus areas include steady level typical flight regimes in addition to less understood regimes including ground effect, aerodynamic interaction, aggressive maneuvering, and transitioning flight. Research goals could also incorporate machine learning or empirical corrections based on system identification and/or sub-system experimentation to improve simulation results, as well as making improvements to the code for computational efficiency gains. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Durable Lightweight Composites
A fellowship opportunity is available within the Composites and Hybrid Materials Branch at the Army Research Lab. Qualified candidate should be an undergraduate student in Materials Science, Chemistry, Chemical Engineering, Physics, or Mechanical Engineering. This successful candidate will assist with development of novel composite materials, with emphasis on polymer matrix, fiber sizing synthesis, mechanical testing, and characterization. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Physical location of opportunity is Aberdeen Proving Ground, MD, approximately 30 miles northeast of Baltimore.
Drivetrain Research
US DEVCOM Army Research Laboratory seeks proposals for innovative concepts for the distribution and transfer of propulsive power in Army vehicles such as helicopters, ground vehicles, and unconventional or unmanned small aircraft. Improved distribution of shaft work may be accomplished through novel technologies applied to bearings, gears, seals, shafts, splines, couplings, clutches, lubrication, etc. Also, proposals are desired for hybrid drivetrains, lightweight electric machines and similar approaches that reduce mechanical interfaces for aircraft in power classes and configurations where commercial technology does not currently exist. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Diffraction Analysis of Energetic and Propellant Materials
The US Army Research Laboratory, located at Aberdeen Proving Grounds, MD, seeks applications for a postdoctoral fellow for an experimental scientist in the field of crystallography. Primary responsibilities include measurement of material behavior utilizing x-ray and/or neutron diffraction. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The position focuses on the Weapons and Materials Research Directorate (WMRD) goals to enhance the lethality and survivability of weapons systems, and to meet the soldier's technology needs for advanced weaponry and protection. This postdoctoral fellowship seeks a mature, competent, self-motivated scientist who shows ingenuity and proficiency in using state-of-the-art experimental techniques and innovative, integrated strategies to pursue challenging, interdisciplinary problems in crystallography, materials science, and condensed matter physics.
Diamond RF Transistor Technology
The CCDC Army Research Laboratory (ARL) seeks a highly motivated, well informed, cross-disciplinary and skilled research associate with experience in theoretical/computational modeling and characterization of diamond surfaces for the design and development of surface-doped diamond transistor. This research associate will study structural, and electronics properties of diamond/acceptor layer heterostructure with quantum mechanical first principle method. The diamond surfaces are insensitive to conventional doping techniques and require surface-doped doping technique to activate carriers for device design. An in-depth understanding of the charge transfer across the diamond surface/acceptor layer heterointerface is required in order to realize the full potential of diamond surfaces in advanced RF technology. ARL is accelerating a strategic initiative to move the physics of topological materials to the engineering of emerging electronic devices that may solve future battlefield challenges with RF technology, and equivalently may advance related civilian technology. Recent theoretical predictions for the device concepts based on diamond surfaces far exceed today's state of the art RF technology. Many of these opportunities can take advantage of high thermal conductivity and carrier mobilities of bulk diamond. This fellowship is a unique opportunity to take full advantage of ARL's strategic intra-extramural reach with a seamless collaboration among ARL laboratories, extended campuses and leading academic scientists. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Development of real-time Deep Reinforcement Learning (DRL) Hardware
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing real-time hardware for Deep Reinforcement Learning algorithms in tactical applications. Current approaches optimize machine learning training by exploiting Deep Neural Networks sparsity with compute-intensive floating-point 32-bit representation for non-zero valued network parameters. This research aims to improve these approaches and incorporate High Level Synthesis (HLS) to obtain hardware designs optimized for various criteria including power, latency, and computation. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The Computational and Information Sciences Directorate (CISD) conducts research in disciplines relevant to achieving the digital battlefield, focusing on sensing, distribution, analysis, and display of information in modern battle spaces. Research at ARL focuses on communications, atmospheric modeling, battlefield visualization, and computing.
Development of Novel Properties from Complex Oxide Thin-films
Research opportunities are available for fundamental and applied research of complex oxide and ferroelectric thin-film materials for RF/MW and acoustic applications through the Army Research Laboratory Research Associateship Program (ARL-RAP). This research will focus on theoretical understanding and experimental determination of non-linear electrical and electromechanical properties of metastable phases derived from thin-film heterostructures. The research includes the design and characterization of microwave acoustic resonators and novel RF/MW components based on tunable ferroelectric thin-film materials. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Development of Microfluidic Devices as High-Throughput Screening (HTS) Tools for Synthetic Biology Applications
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking a microfluidics engineer to perform research in microfluidics, lab-on-a-chip, and systems engineering for synthetic biology applications. This research associateship involves highly collaborative and cross-functional work, partnering with subject matter experts in synthetic biology, environmental microbiology, and bioinformatics. Main responsibilities include the fabrication of microfluidic chips and conducting experiments as defined by the Principal Investigator. The candidate will work together with other engineers and scientists in the laboratory, write project reports, and publish results in journals. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This position requires U.S. citizenship and the ability to obtain Secret-level security clearance.
Development of a Unmanned Aerial Vehicle (UAV) Synthetic Aperture Radar (SAR)
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on utilizing knowledge of synthetic aperture radar (SAR) and associated algorithms. The Army is interested in developing an unmanned aerial vehicle (UAV)-mounted radar system to generate sub-terrain image products for explosive hazard detection. The research involves implementing simulations of SAR for various geometries and flight paths, as well as RF hardware design of a prototype to verify simulated performance characteristics. This research associateship is designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army's future operational needs.
Design Obfuscation for Trusted Chip Fabrication
This research position focuses on developing a hardware security design methodology that will be used to obfuscate CMOS IC designs fabricated at untrusted foundries. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This postdoctoral fellowship opportunity seeks a motivated candidate with in-depth knowledge of ASIC design flow, scripting languages such as TCL and Python, and experience with EDA tools for simulation, synthesis, place and route, custom layout and signoff works. Prior research experience in the area of hardware security is preferable. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields including applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, and computational and information sciences.
Design and Testing of Photonic Integrated Circuit (PIC) Interfaces
The DEVCOM Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking an electrical and/or optical engineer who has obtained their Masters of Science or Masters of Engineering degree for a research opportunity in photonic integrated circuits. The scholar will work within ARD's Integrated Photonics Sensors team, investigating interfaces to various PIC applications which enable future Army capabilities in assured Networking, assured Position Navigation and Timing, and chemical and biological sensing. Opportunities also include assisting in designing and testing PIC components and systems. The participant will perform their work independently under the mentorship of the team leader and will receive on-site training as needed, including cleanroom tools and processes. This research associateship is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Opportunities include authoring presentations, publications, patents, and contributing to DOD reports, as well as attending conferences and government meetings where appropriate.
Design and Synthesis of Novel Energetic Cocrystals
This research opportunity focuses on the design and synthesis of novel energetic cocrystalline materials at the DEVCOM Army Research Laboratory. The project involves identifying novel inter-/intramolecular interactions between novel melt-cast materials and traditional energetics leading to high performance energetic cocrystals. Researchers will synthesize and characterize materials using vibrational spectroscopy (IR and Raman), X-ray diffraction (Powder and Single Crystal), TGA, DSC, and small-scale sensitivity testing. The material space to be explored is centered on energetic melt-cast material based on the bis-isoxazole backbone, with initial work to be performed on milligram scale using modern crystal engineering techniques. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Cybersecurity for Tactical Autonomous Active Cyber Defense
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on cybersecurity for tactical autonomous active cyber defense. The overarching research task is to collaborate with research partners at the National Security Agency and the Laboratory of Physical Sciences in College Park, MD in the area of cybersecurity in solid state and quantum physics, optical and RF innovations, microelectronics integration and advanced computer systems. The intent is to bring new knowledge from ongoing research at LPS to directly support research efforts at ARL South – Cybersecurity and the Network Security Branch at ARL. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Cyber Resiliency and Training
This research fellowship involves improving cyber resiliency through developing algorithms and techniques to improve defensive operations. These techniques may be used for both training purposes and to develop more realistic decoy environments. Particular interests include the implementation of techniques to rapidly create synthetic documents and validate their effectiveness. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Research opportunities exist in areas including procedural generation of synthetic documents and environments, modeling and validating techniques for simulating online user behavior, data analysis and risk mitigation techniques for poisoning attacks in moderately large datasets, and modeling and developing techniques to visualize the output of AI systems to be more explainable to an analyst. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Cross-Reality AURORA Common Operating Picture for Multi-Domain Operations
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on Project AURORA (Accelerated User Reasoning for Operations, Research, and Analysis), which seeks to understand how cross-reality (AR, VR, MR) can be used to enhance the common operating picture for future multi-domain battle. The AURORA project is a platform consisting of network (AURORA-NET) and interface (AURORA-XR) modules that allow researchers to conduct controlled experimentation on the ingestion of battlefield data on the network to its visualization, analysis, and actuation by humans and intelligent agents. There is currently limited literature on how best to use immersive technology for decision-making, particularly across different visualization mediums as well as across different threat domains. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields.
Convergent Manufacturing Design for Printed Hybrid Electronics
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on Convergent Manufacturing (CM) for multifunctional devices and structures. This position aims to establish process-material-design relationships for convergent manufacturing of conformal electronics embedded into Army munitions, weapons, and platforms. The researcher will develop feedstock materials including conductors, dielectrics, and insulators, as well as manufacturing processes such as aerosol deposition, inkjet printing, SLA, FFF, injection molding, robotic milling and drilling, and plasma modification. The researcher will characterize resulting materials using electronics characterization methodologies, mechanical characterization such as tensile testing, and thermal testing. This research associateship is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The position is within the Science of Extreme Materials Division (SEM), which focuses on materials and manufacturing methods for mechanical response and performance extremes, including active, adaptive, and flexible/soft materials.
Control of Structurally Adaptive Small Unmanned Aerial Systems
This Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on control systems for structurally adaptive small unmanned aerial systems (UAS). The research aims to develop complex and atypical vehicle designs that create new modalities of maneuver for flight through congested environments low to the ground. The position requires expertise in transitioning theoretical or simulation-based controllers to experimental hardware platforms, with the end goal being flight demonstration of unique small UAS behaviors that are typically not possible or are un-automated. Research will involve compliant and adaptive structures needed for complex behaviors such as high-speed object avoidance, perching, and soaring. The successful candidate will work with the Weapons and Materials Research Directorate (WMRD) at DEVCOM Army Research Laboratory to develop real-time dynamics models and experimental flight demonstrations. This postdoctoral research associateship provides an opportunity to work at the forefront of autonomous aerial vehicle technology, contributing to Army research in propulsion/flight physics and advanced materials for future land warfare applications.
Computer Scientist for Additive Manufacturing of Polymers
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking a candidate with expertise in computer programming and scripting languages to expand the printability of integrated 3D printing processes. The primary focus is to develop scripting and programming codes to develop and modify g-code slicing of CAD diagrams to control stop/start functions, translation functions, print speeds, and print paths to improve printability of complex 3D parts. The research will involve implementing controls for in-situ process add-ons such as light curing attachments, fans, heaters, and cameras. The researcher will work with ARL personnel to design and print baseline and variable prints to assess the benefits of these modifications on 3D print quality. The overall objective is to reduce the time from design to build of 3D prototypes and improve the quality of 3D printed parts by precisely manipulating printing controls. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Computational Modeling of Narratives & Sense-making from Narratives
This research opportunity focuses on understanding world events through two avenues: sensors collecting environmental data and multimedia news descriptions. The challenge is to gather and convert these sources into a common computational representation for natural language description. Research areas include: developing systems for robots/drones to report information via text narratives when bandwidth is limited; analyzing multimedia reporting from multiple sources and modalities to track and report events; and discovering how automated sensor data collection and manual news reporting can work together to build common understanding of shared knowledge. The position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP) within the Computational and Information Sciences Directorate (CISD).
Computational Modeling of Coupled Multiphysical Fields in Solids
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities for modeling highly transient, coupled, multiphysical fields in solids using analytical, finite element, finite difference, peridynamic, phase field, discrete element, and other computational methods. Emphasis is placed on model validation with experiments, and verification with analytical solutions to transient coupled-field boundary value problems involving wave propagation, thermo-mechanical and electromagnetic fields in finitely deformed matter, fluid-structure interaction associated with shock, impact, dynamic fracture, and fragmentation phenomena. Additional research opportunities exist in the areas of machine learning, topology optimization, multiscale modeling of material microstructures using genetic programming and computational geometric methods for use in conjunction with large-scale finite element and other computational solvers. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Computational Modeling of Aviation Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) seeks proposals to develop novel technologies for next-generation Army aviation platforms, including both manned platforms and unmanned aerial systems. This research opportunity focuses on developing fundamental modeling and analysis capabilities at different degrees of fidelity from low fidelity for conceptual design to high fidelity for detailed design or scientific exploration. Topics of interest include aerodynamics, acoustics, structural dynamics, and flight controls for Army aviation platforms, incorporating both physics-based and data-driven techniques for modeling and simulation. The program aims to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Fellows will work on developing component designs, computational modeling software and algorithms, design methodologies, and methods to incorporate complex physics at low computational cost suitable for conceptual or preliminary design stages.
Computational Materials Science Research - Multi-Scale Mode
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in computational materials science focused on multi-scale modeling. The program aims to accelerate the development of new materials through computational design by reducing development time and evaluation costs. Research involves developing computational methodologies, numerical methods, and algorithms that enable rapid creation of high-fidelity multi-scale/multi-physics computer models of materials capable of utilizing modern extreme-scale computing environments. The research addresses challenges in scale-bridging, adaptive non-local surrogate modeling to reduce computational costs, and consistent incorporation of uncertainty into multi-scale models. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Computational Laser Origami of Compliant Mechanisms
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on designing and analyzing various thin metal compliant mechanisms that can be fabricated with a novel laser folding approach developed at ARL. The candidate will work in an iterative design process using a laser at ARL to perform controlled thermal folding. This research position is part of the ARL-RAP program, designed to increase involvement of highly trained scientists and engineers in scientific and technical areas relevant to the Army. The position falls under the Electromagnetic Spectrum Sciences division and involves hands-on experimentation with compliant mechanisms, mechanics of materials, thermal effects, and heat transfer. The research will support Army forces in developing technologies for future operational needs. The ideal candidate will have innovation and creativity, hands-on experimentation experience, and excellent communication skills. A submitted journal article is expected after the student's period of performance, ideally related to the candidate's thesis work.
Collaborative Intelligent Systems
Research is needed to analyze and design intelligent systems, including autonomous agents (virtual and physical) and their teaming and interaction with humans. Opportunities at ARL exist in a number of areas including artificial intelligence (AI), machine learning, autonomy, distributed signal processing, human-machine interaction and teaming, and networking. Achieving increasing levels of autonomy in Army systems is a critical step forward for tactical application of mobile agents for sensing, surveillance, situational awareness, localization, and networking. Ensembles of agents will be deployed with human interaction and collaboration, making use of cloud computing, human experts, and knowledge bases. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs. The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing.
Chemically-Powered Polymer Artificial Muscles
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on chemically powered actuation of polymer artificial muscles (PAMs). The project involves developing a software model to predict swelling characteristics of PAMs, including accounting for solvent uptake, polymer oxidation states, moving ions, electric fields, and stress. The Fellow will verify the swelling model via various measurements of the polymers in different forms including bulk, membranes, fibers, fiber mats, and PAMs. Close interaction with ARL's PAM work will be necessary. Some work may be done at Adelphi Laboratory Center, but the bulk of the work will be conducted remotely and at the Fellow's university laboratories. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Chemical Synthesis of Novel Energetic Materials
This research associateship opportunity involves the synthesis of novel energetic materials at the DEVCOM Army Research Laboratory. The project goals include elucidating chemical pathways leading to high density, high oxygen-content energetic materials, synthesizing the materials, and characterizing them using NMR, DSC, IR and small scale sensitivity testing. The chemical space to be explored is centered on nitroguanidine-derived materials with initial work to be performed on sub-gram scale using modern synthetic organic techniques. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. This opportunity is part of the Weapons and Materials Research Directorate (WMRD), which focuses on enhancing the lethality and survivability of weapons systems and meeting soldier's technology needs for advanced weaponry and protection through research in energetic materials dynamics, propulsion/flight physics, projectile warhead mechanics, terminal effects phenomena, armor/survivability technologies, environmental chemistry, and advanced materials.
Chemical Synthesis and Surface Functionalization of Novel Nanomaterials via Plasma Technologies
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on plasma-based chemical synthesis and surface functionalization for novel energetic materials, with emphasis on metal nanoparticles and nanocomposites utilizing emerging atmospheric pressure and low pressure plasma technologies. The research involves investigating applicable plasma chemistry and physics, employing methodologies, and conducting material characterization for new pathways of producing a wide variety of novel materials for Army applications. Products from different methods will be evaluated and compared via different analyses for experiment optimizations. This is a collaborative effort with scientists and engineers having multi-disciplinary expertise from ARL and external DoD/university partners to address and resolve technical challenges in the field related to mission and customer-funded programs. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Chemical and Electrochemical Energy Conversion Materials, Devices, and Sensors
This research opportunity is available at the U.S. DEVCOM Army Research Laboratory (ARL) located in Adelphi, MD. The program seeks candidates with a strong interest in future energy and power science and technologies who have recently studied or are currently studying in engineering or science. Energy demand is expected to increase across the board and ARL is working on innovating chemical and electrochemical energy conversion solutions by researching materials and technologies to harvest local power, convert to value-added products, and store it quickly and for long times. These multi-disciplinary problems require a team with materials, engineering, modeling, and design expertise. If selected by an advisor, the participant will be required to write a research proposal to submit to the ARL-RAP review panel, which should relate to a specific opportunity at ARL with clear objectives and defined outcomes.
Characterization of Human Variability through Multi-faceted Assessment
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a postdoctoral research opportunity focused on characterizing human variability and developing novel methods to predict individual future performance. This research position addresses the challenge of understanding human behavior by leveraging recent advances in wearable technologies, physiological monitoring, environmental sensing, and analytic tools. The Associate will extend theories regarding human behavior by incorporating multiple factors and their interactions spanning multiple time scales across large groups of individuals. The position is within the Human Research and Engineering Directorate (HRED), ARL's principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. Research focuses on improving Soldier performance in dynamic battlefield environments and determining how autonomous systems can work with and be adapted to Soldier capabilities. The Associate should have extensive experience in fields such as Applied Mathematics, Behavioral Science, Big Data Analysis, Bioengineering, Computer Science, Electrical Engineering, Machine Learning, Mechanical Engineering, Neuroscience, Physiology, or Probability and Statistics, with interest in applying these skills to characterize human behavior in real-world environments.
Ceramic Synthesis and Processing
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers opportunities for foundational and early applied research and development (R&D) efforts towards enabling the next generation ceramics and ceramic composites for Army systems. Research activities include: 1) novel synthesis and processing techniques for opaque and transparent ceramics and composites with optimal structure/properties for extreme environments and high-rate impact, 2) advanced manufacturing science for development of heterogeneous multi-scale ceramics and interfaces with high fracture and failure tolerance, 3) high-throughput simulation, machine learning and design optimization for processing-structure-property relationships, and 4) high-throughput non-destructive evaluation and characterization for materials discovery. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Candidates of interest are U.S. Citizens with a Ph.D. or M.S. (B.S. or student may be considered with suitable background) in Ceramic Engineering, Materials Science & Engineering, Chemistry, Mechanical Engineering or a related engineering and science discipline. Preferred attributes include a strong knowledge of ceramic engineering principles and analytical and mechanical characterization techniques. Specialized expertise also desired in areas of ceramic synthesis methods, inorganic chemistry, colloidal particle suspension dispersion and rheology, advanced microscopy and spectroscopy techniques, high-rate mechanisms, advanced manufacturing, process control and modeling, and AI/ML techniques.
Broad SOW for ORAU Researchers in DEVCOM ARL Flight Sciences Branch
The DEVCOM Army Research Laboratory (ARL) Flight Sciences Branch is soliciting researchers to contribute to ongoing research in aeroballistics and its application to guided and unguided Army munitions. The research focuses on Flight Dynamics and Control, involving the study of munition response to aerodynamic forces and moments, and control systems to increase range, evade counterfire, and improve target accuracy. Research areas include stability, drag, delivery errors, control actuation systems, thrust vectoring, and advanced control algorithms. A key project investigates novel methods using intelligent control to achieve autonomous abilities for weapon-target assignment, including path planning, cooperative networking, and fault-tolerance. The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to increase involvement of highly trained scientists and engineers from academia and industry in scientific and technical areas relevant to the Army.
Biomaterials integration and processing
This research fellowship opportunity at the U.S. Army Research Laboratory focuses on conducting research at the intersection of Materials Science and Synthetic Biology. The candidate will provide support for interdisciplinary research to integrate novel materials employing an array of processing techniques, including handling both organic and inorganic materials produced through biological means. The fellowship provides extensive experience with characterization techniques ranging from thermal analysis (DMA, TGA, DSC), spectroscopy (UV-Vis, FTIR, Raman), and microscopy (optical, SEM, AFM). The candidate will assist with composite preparation using film casting, extrusion, dip or spray-coating techniques. Initial targets explore bio-templated inorganic filler materials in thin layer structures for conformal antenna assemblies, with future areas including evaluation of novel organic particulates or dyes for application in coatings or thin films. This opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest to the Army.
Basic Aeromechanics for small Unmanned Air Systems (sUAS)
The Army Research Laboratory Research Associateship Program (ARL-RAP) opportunity focuses on basic aerodynamics research specifically related to small Unmanned Air System (sUAS) relevant problems and scales. Research on this project typically involves the use of experimental fluid mechanics techniques (PIV, MTV, HWA, others) for investigating topic areas such as gusts, highly dynamic maneuvers of small vehicles, and fluid-vehicle interactions. Research also usually leverages the wind tunnel facility located at Aberdeen Proving Ground, MD. Research problems on this project may also include controls related research as they apply to sUAS and aerodynamics. The ARL-RAP program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.
Autonomy for Multi-agent Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) is seeking research associates for a multi-agent robotics program. This research opportunity spans group control down to single agent autonomy necessary to support effective collaborative teaming. Scientific disciplines include control theory, game theory, machine learning, and other tools for perception and planning. Work spans development from theory to simulation to physical experimentation. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Researchers at DEVCOM Army Research Laboratory help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs. This opportunity offers flexible locations including ARL sites in MD, TX, CA, IL, MA and other ARL institutional partnerships.
Automation of Measurement Tools for Porous Silicon Characterization
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on developing software routines to automate the characterization of reactive porous silicon. The project involves automated ignition of reactive porous silicon as well as optical characterization via image capture and storage. Participants will develop machine learning algorithms based on acquired images to determine the overall structural integrity of reactive porous silicon both post-etch and pre-ignition. These automated algorithms will be trained to identify surface cracking and inadequate oxidizer filling to monitor device performance. Additionally, the project includes developing test routines for Field Programmable Gate Array (FPGA) devices using Verilog and Very High Speed Integrated Circuit Hardware Description Language in support of current customer efforts. This opportunity is part of the ARL-RAP program, which is designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Atomic Layer Deposition for Piezoelectric and Ferroelectric Device Performance
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on materials processing such as atomic layer deposition, deep silicon etching, chemical etching, and thermal treatments. The research involves materials characterization using scanning electron microscopy and x-ray diffraction and electrical characterization to achieve structure and component uniformity in optimized piezoelectric and ferroelectric test devices. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.
Atmospheric, Biological, Organic & Chemical Aerosols
The Army Research Laboratory Research Associateship Program (ARL-RAP) provides research opportunities in atmospheric, biological, organic, and chemical aerosols. Research is conducted to improve understanding of the atmosphere and its critical relationship to Army Systems performance, to create physically correct models supporting realistic scenes of targets, terrain environments, and cultural features, and to impact standards and protocols of the international modeling and simulation community. The program focuses on physics-based models, three-dimensional visualization, environmental and atmospheric modeling, information processing and presentation in the battle space, intelligent systems, battle space visualization, soldier-centered computer interfaces, advanced display technologies, tactical decision aids, and high-performance computing. The Computational and Information Sciences Directorate (CISD) conducts this research, focusing on communications, atmospheric modeling, battlefield visualization, and computing. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Assessing Claims in Open Source Documents: Detecting, Extracting, and Analyzing Statements
This research opportunity is part of the Army Research Laboratory Research Associateship Program (ARL-RAP) focusing on understanding events taking place around the world as described in alternative ways in online information sources. The project examines multimedia (texts, audio, video) to detect, extract, and attribute claims reported in different news sources to understand what is actually happening on the ground. The research specifically focuses on identifying 'who said what to whom', along with crucial background attributes such as claimer, claim objects, stances expressed in claims, and relevant knowledge from other sources. This research is part of a larger collaborative project involving multilingual, multimodal semantic analysis for information foraging and conversational search. The ARL-RAP is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army, supporting the development of technologies for future Army operational needs.
Artificial Intelligence for Autonomous Systems
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in artificial intelligence and neural networks for future Army autonomous systems. This specific opportunity focuses on advancing the application and development of AI for autonomous systems, including researching components such as convolutional neural networks (CNNs), recursive neural networks (RNNs), kernel based learners, and auto-encoders. These will be coupled with reinforcement learning and other techniques for incorporation into systems such as autonomous robotic navigation and surveillance, and human-machine interaction with knowledge bases. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The research will be conducted under the Computational and Information Sciences Directorate (CISD), which focuses on communications, atmospheric modeling, battlefield visualization, and computing relevant to the digital battlefield.
ARL-West: Topological Materials and Interfacial Coupling for Electronic Device Application
The U.S. Army Research Laboratory (ARL) seeks a highly motivated postdoctoral fellow with experience in the synthesis and fabrication of high quality topological, magnetic materials and heterostructures, and in electrical and magnetic characterization techniques. This postdoctoral fellow will investigate controls for physical processes that underlie theoretical descriptions of concept topological electronic devices (TEDs) for efficient electronics, sensors, and/or radio frequency (RF) technologies and demonstrate them. The fellow will be stationed in the laboratory of Dr. Kang Wang at UCLA and collaborate with other ARL researchers pursuing similar goals. ARL is accelerating a strategic initiative to move the physics of topological materials to the engineering of emerging electronic devices that may solve future battlefield challenges with ultra-efficient electronics and RF technology. Many of these opportunities can take advantage of topological surface currents and spin-orbit coupling at room temperature even with today's imperfect materials. This fellowship offers a unique opportunity to take full advantage of ARL's strategic intra-extramural reach with seamless collaboration among ARL laboratories, extended campuses and leading academic scientists. Success will be defined by demonstrating underlying phenomena above cryogenic temperatures revealing that theoretically proposed concepts are viable.
ARL-North East: Topological Materials and Interfacial Coupling for Electronic Device Application
The U.S. Army Research Laboratory (ARL) seeks a highly motivated, well informed, cross-disciplinary and skilled postdoctoral fellow with experience in the synthesis and fabrication of high quality topological, magnetic materials and heterostructures, and in electrical and magnetic characterization techniques. This postdoctoral fellow will investigate controls for physical processes that underlie theoretical descriptions of concept topological electronic devices (TEDs) for efficient electronics, sensors, and/or radio frequency (RF) technologies and demonstrate them. The fellow will serve as an interface between government and academia, stationed in the laboratory of Dr. Jagadeesh Moodera at MIT and collaborate with other ARL researchers pursuing similar goals. ARL is accelerating a strategic initiative to move the physics of topological materials to the engineering of emerging electronic devices that may solve future battlefield challenges with ultra-efficient electronics and RF technology. Theorists have modeled diverse device concepts that numerically promise to far exceed today's state of the art for sensing, sub-threshold switching with markedly reduced energy consumption, energy harvesting and radio frequency or even THz electronics. Many of these opportunities can take advantage of topological surface currents and spin-orbit coupling at room temperature even with today's imperfect materials. This fellowship is a unique opportunity to take full advantage of ARL's strategic intra-extramural reach with a seamless collaboration among ARL laboratories, extended campuses and leading academic scientists. Success will be defined by demonstrating underlying phenomena above cryogenic temperatures revealing that theoretically proposed concepts are viable. The gap between today's knowledge and tomorrow's technology in this area lies in the device physics that spans the fundamental physics and the electronics engineering.
AMO Quantum Science Research
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers research opportunities in quantum sciences at the DEVCOM Army Research Laboratory. The quantum sciences branch investigates various platforms including neutral atomic vapor, trapped ions, solid state defects, doped solids, and photonics for applications in quantum communication, sensing, and computation. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Current experiments in the neutral atom lab use both room-temperature and laser-cooled ensembles coupled to optical cavities with applications to quantum memories and repeaters, sensing, and clocks. Scientists and Engineers at ARL help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields. The program provides opportunities for researchers at any academic level with relevant background experience.
Alternative coating systems for DOD platforms
The Army Research Laboratory Research Associateship Program (ARL-RAP) is offering a research opportunity focused on coating and corrosion research for ground vehicles and vertical lift platforms. This position involves research and development of alternative chemistries, including novel pretreatments, corrosion inhibitors, and topcoat chemistries to improve the performance of coating systems. The selected participant will work as part of a large application-driven research team to verify and validate the performance of various coating systems, with emphasis on developing test matrices and using characterization tools to identify exceptional materials. The research aligns with the ARL Science and Technology Campaign for ground vehicles and vertical lift platforms, aiming to improve performance, reliability, and versatility of future Army systems. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Agile Metals Additive Manufacturing Research I
The DEVCOM Army Research Laboratory Center for Agile Materials Manufacturing Science (CAMMS) is conducting transformative agile manufacturing research, including additive manufacturing (3D printing) and advanced manufacturing, for developing Army relevant metallics, polymerics, and hybrid materials based AM feedstocks. This research opportunity focuses on establishing and expanding high fidelity pre-build, in-situ, ex-situ, and post-build modular AM digital tools and integrating them under artificial intelligent (AI) based deep machine learning (ML) platforms to increase real time closed loop predictability and manufacturability. The Materials and Manufacturing Sciences Division is seeking an internship candidate with strong academic backgrounds in computer aided design (CAD), metals additive manufacturing, computer programming and scripting languages, and analytical or computational skills to conduct applied research in metals AM Army specific applications. The candidate will scientifically assess the effects of metals AM processing independently and work with ARL personnel to build baselines and build optimized metallic prints. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), which is designed to increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army.
Agents Leveraging Learning for Intelligent Engagement with Soldiers (A.L.L.I.E.S.)
The Army Research Laboratory Research Associateship Program (ARL-RAP) offers a research opportunity focused on the A.L.L.I.E.S. project. The primary objective is to develop, test, and validate techniques for training artificial intelligence (AI) agents to work flexibly and efficiently alongside other AI agents and humans/Soldiers to accomplish tasks, goals, and the overall mission in dynamic multi-domain operations (MDO). This project specifically focuses on utilizing state-of-the-art multi-agent reinforcement learning (MARL) algorithms combined with Human-in-the-Loop (HitL) approaches to find a methodology for training AI agents to rapidly and flexibly adapt to, or learn from partners (human or agent) actions to complete tasks in novel situations and environments. The program is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. The research is conducted through the Computational and Information Sciences Directorate (CISD), which focuses on communications, atmospheric modeling, battlefield visualization, and computing.
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