<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">(apologies for the multiple postings -- this is the last of the batch of open positions!)<div><br></div><div><b>Postdoctoral Research
Associate</b></div><div><b><br></b></div><div>
<!--StartFragment--><span style="">We are seeking a
postodoctoral research associate for a joint project in Hierarchical
Reinforcement Learning in the labs of Dr. Matthew Botvinick and Dr. Yael Niv at
the new Princeton Neuroscience Institute and the Department of Psychology at
Princeton University. The project focuses on behavioral and fMRI experiments
motivated by the theory of Hierarchical Reinforcement Learning, investigating
its implications and bringing human decision making data to bear on new
theoretical advances (see <a href="http://www.princeton.edu/~yael/Publications/BotvinickNivBarto2008.pdf)">http://www.princeton.edu/~yael/Publications/BotvinickNivBarto2008.pdf)</a>.
We seek an exceptionally talented candidate with a strong background in
computational modeling and/or behavioral and functional imaging
experimentation, and a keen interest in learning and decision-making. This is a
one-year postdoctoral position with the possibility of renewal.</span><!--EndFragment-->
</div><div><font class="Apple-style-span" size="6"><span class="Apple-style-span" style="font-size: 19px;"><b><br></b></span></font></div><div><div><b>Essential Qualifications</b></div><div><b><br></b></div><div>
<!--StartFragment--><span style="">PhD in neuroscience,
psychology, computer science, engineering, or related field. All applications
should include a cover letter stating background and research interests, a CV,
one or two representative publications, and contact information of at least two
references.</span><!--EndFragment-->
</div><div><br></div><div><div><b>Preferred Qualifications</b></div><div><b><br></b></div><div>
<!--StartFragment--><span style="">The ideal candidate will
have a solid computational background (machine learning, reinforcement
learning, Bayesian models), will be proficient in programming (Matlab or
equivalent) and will have robust experience with fMRI (event related designs
and model-based analysis techniques).</span><!--EndFragment-->
</div><div><br></div><div>
<!--StartFragment--><span style="">Princeton University is an
equal opportunity employer and complies with applicable EEO and affirmative
action regulations. You may apply online to <b>Requisition Number: 0800730</b>
at <a href="http://jobs.princeton.edu">http://jobs.princeton.edu</a>. For
general application information and how to self-identify, see <a href="http://www.princeton.edu/dof/ApplicantsInfo.htm">http://www.princeton.edu/dof/ApplicantsInfo.htm</a>.</span><!--EndFragment-->
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