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Postdoctoral position in decision making and learning in combinatorial games, New York NY (U.S.A.)

*Postdoc position: decision-making and learning in combinatorial games*

Applications are invited for a postdoctoral position in my laboratory in 
the Center for Neural Science and Department of Psychology at New York 
University (www.cns.nyu.edu/malab). The position is for two years, with 
the possibility of extension.

The long-range goal of the lab is to understand decision-making under 
uncertainty. The specific project is an NSF-funded one on how humans think 
ahead, decide, and learn in two-player, full-information games (such as 
chess, go, or tic-tac-toe). We will use human behavioral experiments, 
machine learning, eye tracking, and potentially fMRI to dissect the roles 
of heuristics, pruning strategy, and cognitive constraints in human play 
in a simplified, tractable game environment.

Applicants should have a Ph.D. in machine learning, artificial 
intelligence, game theory, computational neuroscience, or mathematical, 
perceptual, or cognitive psychology, and be familiar with at least one 
other of these fields. Experience with probabilistic models is required.

To apply, please send your CV, a description of why you are interested, 
and the contact information of two references to me at weijima@nyu.edu. Do 
not hesitate to email me if you have any questions about. Consideration of 
applications will begin immediately and will end when the position is 
filled. Salary will be competitive and commensurate with experience and 
qualifications.