Postdoctoral Position available at Tufts University
Applications are invited for a postdoctoral position in the Tufts Information and Networked Systems (TINS) lab in collaboration with the recently established Center for Applied Brain and Cognitive Sciences (CABCS) at Tufts University and the U.S. Army Natick Soldier Systems Center at Natick, MA. This appointment would be for 12-18 months with an estimated start date of October 2017.
The primary project is entitled “Real time prediction of individual and team performance metric from neurophysiological measurements and team interaction data”. Under this project, the fellow will work with Tufts ECE faculty, Dr. Shuchin Aeron and Dr. Eric Miller, as well as CABCS scientists to develop supervised and semi-supervised machine learning algorithms that are capable of predicting cognitive state (e.g., stress level and alertness) and task performance metrics (e.g., target identification and marksmanship) from a wide assortment of physiological sensor data (both labeled and unlabeled) including information collected continuously as a function of time (EEG, FNIRS, Heart Rate) as well as data at a relatively few points in time before, during, and after a specific task (saliva and urine samples). In addition to assessing individuals, data will be collected to support the characterization of team and intergroup dynamics. We anticipate the effort will require the use of several classical as well as recent developments in machine learning and in particular recursive neural networks, manifold learning, and social network analysis.
While previous experience in theoretical and applied machine learning would be ideal, we welcome applicants with significant experience in related fields including information theory, statistical signal processing, sparse signal or image processing, compressive sensing, and distributed convex optimization.
Interested applicants should send a cover letter detailing their research interests and career goals, CV, and names and contact information of 3 references to Dr. Shuchin Aeron ([email protected]).
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