The Cogan Lab (PI: Gregory Cogan) at Duke University is seeking a postdoctoral research scientist to join the lab.
Research in the lab focuses on understanding the neural computations that underlie speech, language, and cognition. We use a combination of invasive recordings in adult and pediatric epilepsy patients: stereo-electroencephalography - SEEG, and electrocorticography – ECoG, and non-invasive recordings in healthy participants: electroencephalography – EEG. We also collaborate closely with the Viventi Lab (viventi.pratt.duke.edu - Department of Biomedical Engineering) to develop high density/channel count micro-electroencephalography (µECoG - < 2 mm spacing, up to 1024 channels) to record from functional neurosurgery patients (e.g. epilepsy, movement disorders, tumor patients) to better understand the micro-scale of human cognition. See the lab website for more information:
The role entails investigating speech and related phenomena using both invasive and non-invasive electrophysiological recordings. The lab takes a cognitive systems-level approach to understanding the neural computations that underlie speech and auditory cognition. See examples of previous work here:
The ideal candidate has an interest in speech/language, and has obtained (or about to obtain) a PhD in Neuroscience, Psychology, Engineering, or a related field. Proficiency in Matlab and/or Python and experience with electrophysiological signal analysis is required, and a strong computational background (e.g. machine learning, encoding/decoding analyses) is preferred.
Duke University is an excellent and highly interdisciplinary place for research. Collaborators span multiple departments/institutes including Biomedical Engineering, the Duke Institute for Brain Sciences, the Center for Cognitive Neuroscience, Psychology and Neuroscience, and the Department of Neurology.
The position is open until filled. Interested applicants can send a CV, a brief statement of interest, as well as contact information for two references to: firstname.lastname@example.org