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Postdoctoral Scholar in Computational Approaches to Social and Affective Neuroscience

A postdoctoral position is available in the Social, Affective and Ecological Neuroscience Laboratory (PI: Prof. Dean Mobbs, and Co-PI: Prof. Colin Camerer) in Caltech's Division of the Humanities and Social Sciences. Research will study the computational and neurobiological basis of decision-making, emotion, reward, and social valuation. Focus will be on the application of models from behavioral ecology and the use of fMRI, computational modeling, machine learning and network analysis. Emphasis will be on those individuals who have expertise with machine learning and computational fMRI. This position will take advantage of Caltech's broad expertise in these fields.  Candidates are expected to: plan, design, analyze, draft, and bring manuscripts to publication in leading journals in either psychology or neuroscience; coach students; track IRB applications; and organize meetings.

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. This postdoc appointment will run for a period of two-years with a start in between March-June 2020 (with flexibility). Applications are accepted immediately (December 2019), and will continue until the position is filled.  Interested candidates should send a CV, 2-page statement of research interests, evidence of machine learning/computational expertise, up to two papers, and two potential references to:  sae-neuropd@hss.caltech.edu or Search Chair, Postdoc in Computational Approaches to Social and Affect Neuroscience, 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.