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Postdoctoral Position in Neuroimaging and Machine Learning

Applicants with i) a strong background in functional MRI analyses (experience with functional connectivity analyses is preferred); ii) a solid foundation in machine learning techniques; iii) strong programming skills (preferably Python); are called to participate in an NSF-funded project on the fMRI correlates of individual differences in cognitive ability and personality. The position will involve analysis of large-sample databases, including behavioral data and fMRI data, to predict and possibly revise the constructs of personality and cognitive ability. The overarching aim is to develop a neuroscience-informed psychology that tracks the causal relations between the brain and behavior.

Appointment is contingent upon completion of a PhD and relevant research experience that includes the tools and topics listed above. Salary is commensurate with experience. The position is available immediately and will run for a period of up to five years.  Interested candidates should send a CV, 1-page statement of research interests, up to two published papers, and names and emails of two potential references to: 

Ralph Adolphs [] and/or Julien Dubois [] or Search Chair, Postdoc in Neuroimaging & Machine Learning, Division of the Humanities and Social Sciences, Caltech 228-77, Pasadena, CA 91125. 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.