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 N3 Lab (Neuromorphology and Network Neurodynamics Lab) employs multi-modal neuroimaging methodologies, including high-resolution magnetic resonance imaging (MRI), electrocorticography (ECoG) and electroencephalography (EEG), 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.
Qualifications and Skills
Full-time, 1-year initial contract, renewable annually contingent upon performance to up to 3 years.
Commensurate with experience according to the University of Massachusetts Policies and Procedures.
The position is available immediately, and the applications are considered on an ongoing basis until the position is filled.
How to Apply
Applications should be sent to Dr. Farid Hamzei-Sichani at Farid.Hamzeisichani@umassmemorial.org and should include the candidate’s CV along with the list of publications, a statement of interests in the position, and the names and contact information of at least three professional referees.