Understanding and Modeling Visual Search
at ORAU Workforce Solutions

Date Posted: 2/2/2019

Opportunity Description

Understanding and Modeling Visual Search To develop advanced autonomous systems, robots, and analytical tools, advances in machine learning must be coupled with improved understanding and modeling of human cognitive mechanisms and human behavior. ARL is looking for a research associate to further our goal of developing quantitative computational models of human behavior and neurophysiological (electroencephalography, EEG) signals during visual search. Research opportunities include experimental study of naturalistic visual search and other behavior, EEG analysis, and development of ‘deep’ machine learning algorithms, computational models, and theory. Focus will be placed on advancing our fundamental understanding and developing predictive models of how scene dynamics affect EEG signals and visual search behavior. Ideally, candidates should demonstrate expertise in cognitive neuroscience (or a related discipline), EEG, visual search, human behavior, and/or computational modeling. All candidates must possess strong quantitative skills (e.g. Matlab, Python) and/or experience with EEG analysis software (e.g. EEGlab).

Opportunity Snapshot

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians 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. 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.

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, 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, and more.

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