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Sam Gershman
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The Computational Cognitive Neuroscience Lab at Harvard University (Director: Sam Gershman) is seeking a postdoctoral fellow to work in the area of reinforcement learning and decision making. The start date is on or after September 1, 2016. The position is for two years, with a possible extension to a third year contingent on funding.

Requirements for this position are:
(1) Experience with fMRI and human behavioral experiments.
(2) A strong technical background in Bayesian and reinforcement learning models.

Interested applicants should e-mail gershman@fas.harvard.edu with a CV, statement of interest (not to exceed 2 pages), and any relevant publications.

For more information on the lab's research, please visit http://gershmanlab.webfactional.com/

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Consider attending our NIPS workshop on bounded optimality and rational metareasoning!
https://sites.google.com/site/boundedoptimalityworkshop/home
Abstracts are due October 28.

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Postdoctoral position in reinforcement learning at Harvard University

My lab at Harvard University (Department of Psychology and Center for Brain Science) is recruiting a postdoctoral fellow to work in the area of reinforcement learning and decision making. The focus of this research is on structure learning: How does the brain discover the underlying structure of its environment, and use this structure to guide learning and decision making? To answer this question, we combine computational theory with behavioral and brain imaging experiments. We work primarily with human subjects, but the postdoc will have the opportunity to collaborate with several animal labs at Harvard.

For more information about the lab's research, please visit: http://web.mit.edu/sjgershm/www/

Start date: On or after July 1st, 2015.

Qualifications: Strong candidates will have experience with computational neuroscience, probability theory, and model-based analysis of brain imaging and behavioral data.

To apply: Candidates should send a CV and a research statement (not exceeding 2 pages) to Sam Gershman (gershman@fas.harvard.edu). Please arrange for 2 letters of reference to be sent to the same address.

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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