Quantification and prediction of brain-body state
at ORAU Workforce Solutions

Date Posted: 3/12/2019

Opportunity Description

Quantification And Prediction Of Brain-Body State Changes During Simulated And Real-World Human-Automation Interaction With headquarters in Adelphi, Maryland, the U.S. Army Research Laboratory (ARL) is the nation's premier laboratory for land forces. Its diverse assortment of unique facilities and dedicated workforce of government, academic, and private sector partners make up the largest source of world-class integrated science and technology in the Army. 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. Broad needs defined within this problem space demand high-quality, complex experimentation combined with advanced quantitative analysis and modeling of human brain-body states and their dynamics in simulated and actual (real-world) operational contexts. This pursuit is inherently multi-disciplinary, leveraging information available within and across levels from individual psychophysiology to overt cognitive performance and behavior. The current project aims to understand sources of individual variability in decision-making and performance of human-automation and human-human teams during military and civilian vehicle operation. Therefore, exceptional post-doctoral candidates should function well on diverse, multi-disciplinary teams and themselves be well-versed and proficient in at least two of the three following general domains, including: (1) analysis of human behavior and performance, (2) bioinformatics or computational modeling, and (3) engineering. Research activities will involve developing experimental protocols, obtaining and maintaining IRB approval, management and execution of human subjects research at U.S. military installations, managing and analyzing data, and authoring presentations and manuscripts for peer-review publication or government technical reports. Applicants must have earned a doctoral degree (Ph.D.) in Cognitive Science, Psychology, Neuroscience, Biomedical Engineering, Human Factors, or a closely related discipline. A strong preference is accorded to candidates capable of independent, end-to-end data analysis including acquisition, signal conditioning and data reduction, visualization, and statistical analysis and/or quantitative modeling. Substantial high-level programming experience (i.e. MATLAB, Python, C/C++, R), is heavily preferred. Candidates should demonstrate a strong scientific background with examples of recent high-quality first-author presentations and writing. Strong candidates will have already successfully published (or had work accepted for publication) in one or more peer-reviewed journals. Click here to apply online

Opportunity Snapshot

About Us

Grooming future leaders in science and technology requires enhancing the skills, knowledge and experience of workers early in their careers. To that end, ORAU (Oak Ridge Associated Universities) assists in connecting the best and most diverse students, recent graduates, faculty and professionals with world-class fellowships, internships and jobs, whether in national laboratories, research institutions, federal government offices or private sector R&D departments.

ORAU works with agencies such as the U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. We work with the Environmental Protection Agency (EPA) to place recent graduates in full-time and part-time jobs in the Office of Research and Development at EPA under the National Student Services Contract. ORAU also works with Center for Medicare and Medicaid Innovation.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, Toxicology, and more.

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