Postdoctoral positions in statistical neuroscience and machine learning
Multiple postdoctoral positions are available immediately in
Columbia University's Grossman Center for the
Statistics of the Mind, a new center focusing on the intersection
of neuroscience, machine learning, and statistics. The Grossman
Center bridges Columbia's Statistics and Neuroscience
departments, and is closely integrated with the Center for Theoretical
Neuroscience. The Grossman Center is part of Columbia's larger,
growing initiatives in neuroscience and data sciences, all
located in New York City.
The principal appointments will be in the Statistics department, in the research groups of Liam Paninski and/or John Cunningham, with ample opportunities for interaction with an exceptional group of experimental and theoretical collaborators, including M. Churchland, L. Abbott, D. Blei, R. Yuste, R. Bruno, T. Jessell, K. Miller, E. Hillman, E.J. Chichilnisky, E. Simoncelli, K. Shenoy, M. Ahrens, and more.
Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience.
Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills.
Applicants should send email to "grossman at stat dot columbia dot
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 pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.