[Forum SIS] Fwd: Fwd: Connectionists: desperately seeking neural data scientists

[Luca LA ROCCA]

Ricevo da un collega informatico (del mio dipartimento)
e volentieri condivido.

Buon Ferragosto,
Luca LR

http://personale.unimore.it/rubrica/dettaglio/llarocca

-------- Forwarded message --------
Oggetto: 	Connectionists: desperately seeking neural data scientists
Data: 	Wed, 12 Aug 2015 11:11:04 -0400
Mittente: 	Liam Paninski <liam at stat.columbia.edu>
A: 	comp-neuro at neuroinf.org, stat-nda-list at lists.andrew.cmu.edu,
connectionists at cs.cmu.edu



Hi all (apologies for the cross-post) - we have multiple postdoctoral
positions open in statistical neuroscience and machine learning.  Full
details here:
http://grossmancenter.columbia.edu/postdoc.html,
and copied below.

Please share with anyone who might be interested.
L



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 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.