Not specified
No deadline
United States
individual
About This Opportunity
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.
Who Can Apply
- Region
- United States
- Citizenship
- United States
- Project in
- United States
- Applicants
- individual
- Age
- 18 - 151 years old
- Post-degree
- Up to 6 years
Application Details
Stages
- 1 two_stage
Required documents
Review process
Initial application with CV, transcripts, and three references. If selected by an advisor, participant must submit a research proposal to the ARL-RAP review panel.
Additional benefits
- mentorship
- training
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
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Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
- No deadline
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