PhD + post-doc positions in neural network motor models

[Yoshua Bengio]

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Visuomotor Control and Learning in Large-Scale Biological and Artificial
                        Neural Networks

        Positions are available at the graduate and postdoctoral level
to work with a team of researchers who are pursuing a series of
collaborative behavioral, neurophysiological and computational studies
of the neural mechanisms of visuomotor control and motor skill
acquisition in the human, monkey and cat, and their application to the
design of autonomous adaptive neural networks. Team members include
John Kalaska, Yoshua Bengio, Trevor Drew, Paul Cisek and Stephen
Scott. Physiological projects are studying the functional organization
and learning mechanisms in mammalian motor systems.  Modelling and
theoretical tools are being used to develop and evaluate the
performance of different computational architectures and learning
algorithms for adaptive task decomposition in large-scale biological
and artificial neural networks that are inspired by the physiological
studies, and to assess their potential applications in a wide range of
technological domains. Candidates have the opportunity to collaborate
with several team members. Candidates must have a strong background in
one or more of the following areas: learning mechanisms in artificial
or biological neural networks, computer science, control theory,
statistical analysis, computational neuroscience, systems
neuroscience, motor control, biomechanics, psychophysics. 

Positions are available immediately, but start times are
negotiable. Open to all nationalities.  Graduate-level candidates will
apply for a PhD at one of three departments: Physiology at
U. Montreal, Montreal, Quebec (J. Kalaska, T. Drew, P. Cisek),
Computer Science at U. Montreal (Y. Bengio), or Anatomy at Queens
University, Kingston, Ontario (S. Scott). Competitive
stipends. Funding available for periods of up to 3-5 years. Send CV,
statement of research interests, and 2 letters of reference to John
Kalaska, Dpartement de Physiologie, Pavillon Paul-G-Desmarais,
Universit de Montral, 2900 Edouard-Montpetit, Montral Qubec,
Canada, H3T 1J4 (telephone: 514-343-6349; fax: 514-343-6113; e-mail:
kalaskaj at physio.umontreal.ca).


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-- 
Yoshua Bengio 
Associate professor / Professeur agrg 
Canada Research Chair in Statistical Learning Algorithms / 
titulaire de la chaire de recherche du Canada en algorithmes d'apprentissage statistique
Dpartement d'Informatique et Recherche Oprationnelle
Universit de Montral, 
adresse postale: C.P. 6128 Succ. Centre-Ville, Montral, Qubec, Canada H3C 3J7
adresse civique: 2920 Chemin de la Tour, Montral, Qubec, Canada H3T 1J8, #2194
Tel: 514-343-6804. Fax: 514-343-5834. Bureau 3339.
http://www.iro.umontreal.ca/~bengioy
http://www.iro.umontreal.ca/~lisa