A multi-year postdoctoral researcher position in computational neuroscience is available immediately through a collaboration of Massachusetts General Hospital and Boston University. The fellow will be tasked to build neural models capable of simulating and predicting human neural dynamics within and among a network of cortical and subcortical areas. These models will inform the design of adaptive “closed loop” stimulation to treat psychiatric disorders. The researcher will work with an interdisciplinary team of clinical and computational researchers at Harvard Medical School, Massachusetts General Hospital, and Boston University to focus on three central aims: 1) Develop a mean-field computational model of human cortical and subcortical regions, 2) Simulate the impact of electrical stimulation on the model dynamics, 3) Implement data assimilation procedures to link in vivo brain voltage recordings from individual patients to the computational model variables and parameters.

Experience in statistics (e.g., parameter estimation, Kalman filtering, particle filtering) and computer programming in MATLAB and C-like languages are required. Knowledge of neuroscience and models of neural population activity are preferred, and we will preferentially interview candidates with prior work in neural simulation or experimental neuroscience.

This opportunity is available immediately, and candidates currently available to begin work will be preferred. However, we are happy to negotiate start terms for outstanding candidates. To apply, or for more information about the position, please send an email to Drs. Mark Kramer (mak@bu.edu) and Alik Widge (awidge@partners.org). Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Applications from women and representatives of minority groups are encouraged.