Computational Modeling of Neural Systems for Trans
at ORAU Workforce Solutions

Date Posted: 12/23/2018

Opportunity Description

With the emergence of information about neural systems, such as intersensory regulation systems, the resting state network, or motor control systems, the need arises to understand how such systems interrelate into a cohesive network to impacts real-world behavior. The Army Research Laboratory has research opportunities available to use a computational modeling approach to uncover the significance of specific neural systems and the impact of the interaction of such systems with other neural systems on real-world behavior. Current laboratory efforts focus on multi-sensory systems, cognitive and affective systems, and the cohesive network that underlies complex operationally-relevant tasks. Research to characterize and understand individual differences is emphasized. The Associate will apply advanced statistical and computational modeling approaches, such as Liquid State Machines, Echo State Networks, or nonlinear dynamical systems, to understand the stability and transient dynamics of neural systems underlying the production of behavioral performance and constraints on neural processing. A program of research will advance translational principles that will ultimately contribute novel and innovative understandings of nervous system behavior and function that can drive and inform the development of ongoing and future applied research programs. Click here for more information

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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