Not specified
No deadline
United States
individual
About This Opportunity
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.
Who Can Apply
- Region
- United States
- Project in
- United States
- Applicants
- individual
Application Details
Stages
- 1 two_stage
Required documents
Review process
Applicants are first selected by an advisor, then must submit a research proposal to the ARL-RAP review panel for approval.
Additional benefits
- mentorship
- networking
External Application
This opportunity requires you to apply directly on the funder's website.
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Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
- No deadline
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