Connectionists: Intracranial Human Electrophysiology Postdoctoral Position, Pittsburgh, Pennsylvania, USA

[Ghuman, Avniel]

Applications are invited for a postdoctoral position using intracranial recordings in humans to study the neural basis of face recognition and social and affective perception, at the University of Pittsburgh, USA.

The research will focus on understanding the dynamic neural code that underlies the recognition of faces, bodies, facial expressions, and other social and affective stimuli. Of particular interest is how this information is coded in interactive neural circuits at the level of large-scale brain networks. The neural data will primarily be local field potentials/ event related potential from intracranial surface electrodes (electrocorticography, ECoG), cortical depth electrodes, and subcortical depth electrodes in humans. Multivariate techniques and advanced signal processing will be applied to the millisecond-scale activity recorded simultaneously from multiple electrodes in areas related to social processing while participants perform social and affective perception tasks.

Applicants should hold a Ph.D. in Neuroscience, Computational Neuroscience, Computer Science, Mathematics, Statistics, Engineering or a related field. Advanced skills in signal processing, multivariate statistics, machine learning and/or computational neuroscience are required. Experience with multivariate analysis of neural data is required and experience with electrophysiological data is desirable. Applicants should have a strong track record of publication.

The position is fully funded. The initial period is 1 year with additional years depending on fit and progress. Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation. For further information or to submit an application, please contact Avniel Ghuman, Ph.D. at ghumana at upmc.edu .

The position is available immediately and applications will be considered until the position is filled.