We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the group of Jan Drugowitsch - Department of Neurobiology at Harvard Medical School. The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. We have strong ties to, and frequently collaborate with, experimental labs. The postdoctoral fellow will develop state-of-the-art theories of neural computations using machine learning, neural networks, dynamical systems analysis, and reinforcement learning, and will analyze the neural data collected by experimental collaborators.
The position starts in or after June 2022, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary depends on experience and is at levels above the NIH scale.
Expected background: Candidates should have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in the role of computation in neural populations and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable.
Application: Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to firstname.lastname@example.org. If they are considered suitable candidates, they will be requested to additionally organize two letters of reference. The position is open until filled.
Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place in Portugal, March 17-22, for questions and further information about the opening.
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.