Applications are invited to fill several post-doctoral positions at the University of Pennsylvania. The successful applicant will be co-mentored by Yale Cohen and by computational theorists (Konrad Kording or Vijay Balasubramanian). These mentors are in the Departments of Otorhinolaryngology, Neuroscience, and Bioengineering and part of the Computational Neuroscience Initiative. The work combines auditory psychophysics, large-scale neuronal recordings (single neurons, LFPs, uECoG, and/or EEG), computational theory, and state-of-the-art machine learning. The intellectual environment of the University of Pennsylvania is outstanding for computational auditory neuroscience. The Hearing Sciences Center, which is directed by Cohen, is a multi-investigator group that identifies neuronal correlates of hearing and communication at multiple scales of interrogation, using state-of-the-art computational and causal techniques. The Kording lab focuses on deep learning, causality, and its links with machine learning. The Computational Neuroscience Initiative gathers together the Penn faculty who are fundamentally interested in systems and computational approaches to neuroscience. Candidates are expected to have a PhD (or equivalent) related to neuroscience, engineering, physics, psychology, or similar disciplines. Candidates with backgrounds in computational theory or machine learning are especially encouraged to apply. Preferred candidates will have experience in training Old World monkeys on behavioral tasks, recording neuronal activity while monkeys are engaged in behavior, and using computational approaches to analyze the data. Experience in animal training is not required. This will be a full-time, 12-month renewable appointment. Salary will be commensurate with experience and consistent with NIH stipends. To apply, send your CV along with contact information for 2 referees to: ycohen@xxxxxxxxxxxxxxxxxxxxxx. Applications will be considered on a rolling basis, and we anticipate a Fall 2019 start date. -- Director, OAW Chair, Bioengineering Graduate Group |