Neural, physiological, and behavioral time series analyses

This research associateship opportunity seeks a candidate interested in analyses of neural, physiological, and behavioral time series data and their interactions over varying timescales using linear and nonlinear analyses to test hypotheses from competing models of human performance. The ideal candidate will have a background in cognitive neuroscience, electrophysiology, applied mathematics, biomedical signal processing, complex systems, physics, computer programming, and statistics. This position is part of the Army Research Laboratory Research Associateship Program (ARL-RAP), designed to increase 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 will be conducted 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. HRED focuses on improving Soldier performance in dynamic and changing battlefield environments, with an emphasis on human-robot interaction, human-informed machine learning, human cognition and adaptive teaming.