Postdoctoral position in neural coding

A full-time postdoctoral position is available immediately in the lab of Liam Paninski, working on statistical analysis and modeling of neural data, in close cooperation with our experimental collaborators. See this page for an overview of our research, including a complete list of publications and links to lecture notes on statistical neural data analysis.

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:

  1. a one-page description of past research experience
  2. a one-page description of future research interests and goals
  3. a resume of educational and research experience, including publications
  4. names of at least two people that could provide letters of reference
All materials should be in Acrobat (pdf) or plain text (no MS Word documents, please), and may be included as a URL, or as an email attachment.