[Comp-neuro] Two open postdoc positions in the Niv Lab at Princeton

Dear colleagues, 

Please see below ads for two postdoc positions in my lab. Feel free to circulate widely to relevant candidates. 

Happy holidays, 

--Yael

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Two funded postdoctoral positions are available at the lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (http://www.princeton.edu/~nivlab). Research in the lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven functional imaging experiments of human decision making. 

Position 1: 

This position will be funded by a collaborative HFSP-funded project that investigates the role of striatal acetylcholine from a theoretical and empirical perspective. We seek exceptionally talented candidates with a strong computational background, and a keen interest in reinforcement learning and normative models of behavior. Anticipated start date is January 2013 or later. This is a one-year position with the possibility of renewal, pending satisfactory performance and funding.
 
Essential Qualifications: PhD in computer science, psychology, neuroscience or equivalent. Proven experience with computational modeling.
 
Preferred Qualifications: The ideal candidate will have robust experience with computational modeling at the systems level (machine learning, reinforcement learning, Bayesian models). Additional desirable qualifications are experience with behavioral experiments (decision making/psychophysics) and model-based data analysis and/or experience with fMRI (event related designs and model-based analysis techniques).
 
To apply, please visit the website https://jobs.princeton.edu (requisition #1200845) and create an online application. Applicants must submit a cover letter stating background and research interests and citations of two representative publications, a CV, and contact information of at least two references.

Position 2:

This position will be part of an NIMH-funded project investigating the interaction between attention and reinforcement learning in the prefrontal cortex and the basal ganglia. We seek exceptionally talented candidates with a strong background in functional imaging, expertise in computer programming and modeling, and a keen interest in reinforcement learning and normative models of behavior. Anticipated start date is January 2013 or later. This is a one-year position with the possibility of renewal, pending satisfactory performance and funding. 

Essential Qualifications: PhD in psychology, neuroscience or equivalent.  Proven experience with computer programming.

Preferred Qualifications: The ideal candidate will have robust experience with fMRI (event related designs and model-based analysis techniques), will be proficient in programming (Matlab or equivalent), and will have experience with computational modeling (machine learning, reinforcement learning, Bayesian models).

To apply, please visit the website https://jobs.princeton.edu (requisition #1200844) and create an online application. Applicants must submit a cover letter stating background and research interests and citations of two representative publications, a CV, and contact information of at least two references.
 

Princeton University is an equal opportunity employer and complies with applicable EEO and affirmative action regulations.