Postdoctoral associate in primate neurophysiology or computational modelling

How do our experiences shape the way we process visual information? The Laboratory of Visual Cognition (PI James P. Herman) in the Department of Ophthalmology at the University of Pittsburgh School of Medicine is searching for a postdoctoral associate to study interactions between reinforcement learning and visual processing in the primate brain. The lab measures and perturbs the activity of large-scale neuronal populations in awake behaving animals and employs computational modelling to understand circuit interactions spanning subcortical and cortical nodes. Multiple projects focused on reinforcement learning, spatial attention, decision making, neuronal information coding, and the interface between artificial and biological intelligence are available.

Successful candidates should hold a recent PhD in neuroscience, physics, mathematics, computer science, engineering, biology, psychology, or other related fields (e.g. chemistry, neurobiology, etc.). The following areas of expertise are preferred: non-human primate electrophysiology; systems neuroscience; behavioral training and task design; computational analysis, modeling, and programming in Matlab, Python or similar tools; data science, statistics, machine learning or other advanced data analysis approaches; animal handling and surgeries; grant and paper writing.