[Comp-neuro] Connectionists: Postdoctoral Position,
Princeton Neuroscience Institute
yael at Princeton.EDU
Mon Sep 3 22:46:37 CEST 2012
POSTDOCTORAL POSITION, PRINCETON NEUROSCIENCE INSTITUTE
Several postdoctoral positions are currently available in the Princeton Neuroscience Institute at Princeton University.
These positions are part of a multi-year research project using fMRI and EEG to study the mechanisms of cognitive control in humans performing high level cognitive tasks. The project is being led by a team of Princeton faculty, including Jonathan Cohen, Matthew Botvinick, Yael Niv, and Kenneth Norman. Specific topics of interest include self-control over impulsive behavior, hierarchical reinforcement learning of goals and subgoals, prospective memory and planning, decision making under uncertainty and ambiguity, and the explore/exploit tradeoff. The work will draw heavily on formal theoretical modeling, including optimality analysis and neural network simulation, as well as empirical studies. In addition, new brain imaging methods will be developed to measure internal control representations, employing model-based multivariate pattern analysis (MVPA), whole-brain correlational data, and real-time fMRI feedback using online MVPA.
REQUIREMENTS: Ph.D. in psychology, neuroscience, or closely related field; a strong background in one or more of the following is preferred: fMRI, EEG, computational/mathematical modeling of psychological and/or neural function. Candidates must be able to pass a standard MR safety screening in order to work in the MR environment.
To apply, please visit the website https://jobs.princeton.edu (requisition #1200495) to create an online application. Applications should include a cover letter, a CV, and letters of reference.
Princeton University is an equal opportunity employer and complies with applicable EEO and affirmative action regulations. For general application information and how to self-identify, see http://www.princeton.edu/dof/policies/forms/newappoint_reclassif/PSoftSelfID.pdf
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