[CogSci] Postdoctoral position in computational cognitive science

[Tom Griffiths]

My lab is moving to Princeton University in July 2018, and we will have postdoctoral positions available in computational cognitive science. 

Applicants should have a background in cognitive science or a related discipline such as computer science or psychology, with a research agenda focused on using mathematical, computational, and behavioral methods to understand the nature of human intelligence. Current research in the lab explores a wide range of topics including more realistic models of rational behavior (bounded optimality and rational metareasoning, with applications to decision-making and strategic behavior), novel methods for using behavioral data to answer questions about the mind (crowdsourcing, analysis of large online datasets, automated design and optimization of experiments), and the interface of human and machine learning (comparing deep learning to human behavior, Bayesian machine learning, metalearning, hierarchical reinforcement learning, computational models of explanation).

Further details and application materials are available here (deadline December 17):

https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=5082

(This listing is in the Department of Computer Science but appointments can also be made in Psychology if preferred, just note this in your application.)

Best wishes,

Tom.

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Tom Griffiths
Professor, Psychology and Cognitive Science
University of California, Berkeley

http://cocosci.berkeley.edu/tom/