Location: Harvard Medical School, Boston, MA
Start: April 2018 or after
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 (http://neuro.hms.harvard.edu/people/faculty/jan-drugowitsch). The group works on questions of decision-making and navigation under uncertainty, ranging from the level of neural populations to that of behavior. In the short term, the postdoctoral fellow is expected to design and analyze behavioral and neural models of decision-making that are gauged against data from human subjects, collected by the laboratory of Dr. Wyart at École Normale Supérieure, Paris. In the long term, close interaction and collaboration with other members of the department is anticipated.
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. Previous experience should include sufficient programming skills to run numerical simulations, Bayesian methods, and expertise in the analysis of dynamical systems.
The position starts in or after April 2018, 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.
Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to firstname.lastname@example.org. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled.
Dr. Drugowitsch will be available at the Computational and Systems Neuroscience Conference (Cosyne), to take place March 1-6, 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.