Connectionists: Postdoctoral position: Unified models of text, functional MRI, and human memory

[Kenneth Norman]

David Blei (Computer Science, Princeton University) and Ken Norman (Psychology, Princeton University) are looking for a postdoctoral researcher for an exciting project at the intersection of statistical machine learning and neuroscience.  This is a one year (renewable) position.  The position involves developing models and algorithms to help us explain human memory data.  Specifically, we will be developing new hierarchical Bayesian models for simultaneously analyzing brain imaging data, corpus statistics, and behavioral data.

The ideal candidate will be comfortable with a subset of the following:

- hierarchical Bayesian modeling and posterior inference
- topic modeling
- brain imaging data
- massive data sets
- human memory research

He or she will be an active participant in both Ken Norman's lab and David Blei's research group, collaborating closely with both faculty and their graduate students.  For related work, see "A Bayesian analysis of dynamics in free recall" (NIPS, 2009), which can be found here:

http://www.cs.princeton.edu/~blei/papers/SocherGershmanPerotteSederbergBleiNorman2009.pdf

A PhD in Computer Science, Statistics, Engineering, Neuroscience, Psychology, Cognitive Science, or other related field is required.

Applications should include a cover letter, a CV, one or two representative publications, and two letters of reference. To apply, please visit the website https://jobs.princeton.edu(Requisition #1000680) and create an online application. Princeton University is an equal opportunity employer and complies with applicable EEO and affirmative action regulations. 
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