[Comp-neuro] Postdoctoral positions available in group for neural theory, Paris

Sophie Deneve sophie.deneve at ens.fr
Tue Mar 17 16:13:42 CET 2015


Two postdoctoral positions are available in the group of Sophie Deneve,
Ecole Normale supérieure, Paris.  Positions are for two years, and comes
with competitive salary and generous equipment and travel funds.  The team
is part of the “Group for neural theory” (
http://iec-lnc.ens.fr/group-for-neural-theory/) and surrounded by top-level
theoretical and experimental labs.


Candidates are expected to have a solid training in the field of
computational neuroscience, proven quantitative and programming skills and
a strong interest in integrative neuroscience. Starting dates are flexible,
but should preferentially occur before September 2015.


Candidates should send their application to sophie.deneve at ens.fr by *March
31, 2015*. Please mention “postdoctoral candidate” in the subject of the
email.  Application should take the form of a single PDF file, containing a
CV, motivation letter, names and email addresses of 2 to 3 referees.  No
official letter of recommendations are required, as the referees will be
contacted directly.


Main research directions in the lab are:


Efficient coding in spiking networks (theory and data analyses).


Probabilistic approaches to sensory processing (theory and data analyses).


Hierarchical inference and learning in neural networks, application to
schizophrenia (psychophysics experiment and theory)


Candidates should send their application to sophie.deneve at ens.fr by *March
31, 2015*. Please mention “postdoctoral candidate” in the subject of the
email.  Application should take the form of a single PDF file, containing a
CV, motivation letter, names and email addresses of 2 to 3 referees.  No
official letter of recommendations are required, as the referee will be
contacted directly.

-- 
Dr Sophie Deneve
Group for Neural Theory
Laboratoire de Neurosciences cognitives
ENS-INSERM
29, rue d'Ulm, 75005 Paris, France
Tel. (+33) (0)1 44 32 26 35
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