[Comp-neuro] Postdoc and PhD position in Computational Neuroscience in Bern, Switzerland

Walter Senn wsenn at cns.unibe.ch
Thu Aug 29 10:38:26 CEST 2013


There is an opening for a 3-year postdoc position and a PhD position in 
computational neuroscience in the Senn lab at the University of Bern, 
Switzerland.

The positions are part of a collaborative project with the Herzog and 
Gerstner labs at EPFL on "Learning from delayed and sparse feedback", 
supported by the Swiss National Science Foundation (SNFS). We aim at 
understanding how perceptual learning and decision making may jointly 
improve based on a delayed feedback. Our group studies the combination 
of unsupervised and reinforcement learning in cortical networks of 
spiking neurons. We are interested in biologically realistic 
reinforcement learning algorithms that are both amenable to a 
theoretical understanding and consistent with data on human learning 
recorded in the Herzog lab. The work extends previous models of 
reinforcement learning and decision making in populations of spiking 
neurons in our lab (see 
http://www.physio.unibe.ch/~senn/neuroscience.aspx 
<http://www.physio.unibe.ch/%7Esenn/neuroscience.aspx>)

Ideal candidates for the PhD position have a Master in Theoretical 
Physics or a related area, and for the postdoc position a PhD in 
Computational Neuroscience with a strong theoretical background. Send 
your CV with scientific record and a statement of research interests 
(maximally 1 page), and arrange for 2 letters of recommendations to be 
sent to senn at pyl.unibe.ch <mailto:senn at pyl.unibe.ch>.

Please apply before September 15th, 2013, although later applications 
may still be considered.

We offer a dynamic working environment at the Department of Physiology, 
close interactions with the in-house experimental labs and the partners 
at EPFL, an exciting surrounding close to the Alps and close to Bern's 
old city as UNESCO World Heritage, and last not least, Swiss salaries 
according to the SNFS guidelines.

Regards,

Walter Senn

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