Requirements: The work is highly interdisciplinary, and applicants must have strong mathematical and computational skills. Preferred educational background is a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience. Previous experience with statistical signal processing, statistical modeling, and/or computational neuroscience is required.
Environment: The Paninski group is at Columbia University, based in the Statistics department and closely integrated with the Center for Theoretical Neuroscience, in the great city of New York.
Appointment: The initial appointment will be for one year, and is renewable. Salaries will be set based on experience and skills.
Applicants should send email to "liam at stat columbia edu" providing: