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Postdoctoral Scholar in Affective Neuroscience using Machine Learning

A postdoctoral position is available in the Social, Affective and Ecological Neuroscience Laboratory (PI: Professor Dean Mobbs) in Caltech's Division of the Humanities and Social Sciences. Research will study the theoretical, computational and neurobiological basis of decision-making and emotion in healthy populations.  The applicant will have to have strong programming skills and ability to apply computational models and machine learning to novel fMRI sets.

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 ASAP (with flexibility). Applications are accepted beginning March 20th, and will continue until the position is filled. Interested candidates should send a CV, 1 to 2-page statement of research interests (including description of your expertise in machine learning and/or, computational modeling), up to two papers, and two references to: sae-neuropd@caltech.edu or Search Chair, Postdoc in Computational and Machine Learning Approaches to 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.