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 Cortically-coupled Computer Vision

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Nombre de messages : 259
Age : 41
Localisation : Rennes
Date d'inscription : 23/04/2007

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MessageSujet: Cortically-coupled Computer Vision   Cortically-coupled Computer Vision Icon_minitimeJeu 30 Aoû - 14:15

Position for Postdoctoral Fellow: Cortically-coupled Computer Vision
De : Paul Sajda ps629 [ à ] columbia.edu

The Laboratory for Intelligent Imaging and Neural Computing (LIINC)
at Columbia University has an immediate opening for a Postdoctoral
Fellow to participate in our research program in "Cortically-coupled
Computer Vision (C3Vision)". The C3Vision program looks to
synergistically couple biological and computer vision systems using a
combination of brain machine interfaces, machine learning and pattern
classification, and image understanding within the context of
understanding the advantages and limits of both biological and
computer vision. Applicants should have a background in one, and
preferably several, of the following: machine vision (especially
content based indexing and automated image labeling), machine
learning, neural signal processing, neuroimaging (EEG and/or fMRI),
real-time systems design and programming.

LIINC is in the Department of Biomedical Engineering at Columbia
University and interacts closely with other departments at Columbia,
Including Electrical Engineering, Biological Sciences, Computer
Science and Neuroscience. In addition, the C3Vision project includes
collaborators at other academic institutions as well as in industry,
and the project involves both basic and applied research which will
ultimately lead to testable systems.

Interested candidates should send via email their CV, three
representative papers, the names of three references, and cover
letter to Prof. Paul Sajda (ps629 [ à ] columbia.edu). Applications will
be considered immediately. The position is for one year, with the
option to renew for 2-3 years, given satisfactory performance and
available funding.


Paul Sajda, Ph.D.
Associate Professor
Department of Biomedical Engineering
Columbia University
351 Engineering Terrace Building, Mail Code 8904
1210 Amsterdam Avenue
New York, NY 10027
tel: (212) 854-5279
fax: (212) 854-8725
email: ps629 [ à ] columbia.edu
http://liinc.bme.columbia.edu
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