EEG Signal Processing and Analysis
at ORAU Workforce Solutions

Date Posted: 12/23/2018

Opportunity Description

The study of complex networks in the brain provides insight into dynamical processes responsible for cognition and behavior of humans. Availability of more powerful computational resources allows for development and implementation of advanced signal processing methods to signals recorded from brain (EEG and ECoG) during the performance of different tasks under various external conditions. This research opportunity may involve implementation, modification, and development of advanced EEG processing methods, including but not limited to multivariate connectivity measures, time-frequency, and phase analysis. Applicants should have a strong signal processing and programming background and an interest in applying computational methods in neuroscience. References: Boatman-Reich D, et al: Frontiers in Computational Neuroscience 19(4): 4, 2010 Korzeniewska A, et al: Neuroimage 56(4): 2218, 2011 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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