The University of Massachusetts Medical School (UMMS) Department of Neurosurgery is seeking a full-time computer science/machine learning postdoctoral fellow to study the neural correlates of decision making. The N3Lab (Neuromorphology and Network Neurodynamics Lab) employs multi-modal neuroimaging methodologies, including electrocorticography (ECoG, electroencephalography (EEG) and microelectrode recordings from human brain (MER), to identify neural patterns associated with metacognition, trust, and attentional level, when the user is involved in a decision-making task with other humans or artificial agents (AIs). Our analytic approaches include, but are not limited to, graph theoretical analysis of large-scale neural networks, machine-learning algorithms (including deep learning), and neural population modeling. The ultimate aim of the project is to implement closed-loop, real-time cognitive systems for enhancing group decision making, including brain-computer interfaces (BCIs) and autonomous AI algorithms.
The postdoctoral fellow will be part of a multi-site US-UK collaboration project funded by the Department of Defense. Other excellent opportunities exist for various scientific interaction and collaborations in the fields of neuroscience, machine-learning and biomedical signal processing, as well as for participation in the extensive programs of seminars, symposia, and other relevant meetings.