Connectionists: Columbia postdoc positions: statistical neuroscience and machine learning

Liam Paninski liam at stat.columbia.edu
Mon Feb 3 21:59:13 EST 2014


Colleagues,

While we're on the topic of big data in neuroscience... will you please
circulate this postdoc advertisement amongst your students or anyone else
who might be interested:  http://grossmancenter.columbia.edu/postdoc.html ?

Thank you.
L

Postdoctoral positions in statistical neuroscience and machine learning

Two full-time postdoctoral positions are available immediately in Columbia
University's Grossman Center for the Statistics of the
Mind<http://grossmancenter.columbia.edu/>,
a new center focusing on the intersection of neuroscience, machine
learning, and statistics. The Grossman Center bridges Columbia's
Statistics<http://www.stat.columbia.edu/>and
Neuroscience <http://neurosciencephd.columbia.edu/> departments, and is
closely integrated with the Center for Theoretical
Neuroscience<http://www.neurotheory.columbia.edu>.
The Grossman Center is part of Columbia's larger, growing initiatives in
neuroscience <http://zuckermaninstitute.columbia.edu/> and data
sciences<http://idse.columbia.edu>,
all located in New York City.

The principal appointments will be in the Statistics department, in the
research groups of Liam Paninski
<http://www.stat.columbia.edu/%7Eliam>and/or John
Cunningham <http://www.stat.columbia.edu/%7Ecunningham/>, with ample
opportunities for interaction with an exceptional group of experimental and
theoretical collaborators, including M. Churchland, L. Abbott, R. Yuste, R.
Bruno, T. Jessell, K. Miller, B. Pesaran, 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 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 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.
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