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<p class="MsoNormal">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.</p>
<p class="MsoNormal">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 <a
href="http://www.physio.unibe.ch/%7Esenn/neuroscience.aspx">http://www.physio.unibe.ch/~senn/neuroscience.aspx</a>)</p>
<p class="MsoNormal">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 <a
href="mailto:senn@pyl.unibe.ch">senn@pyl.unibe.ch</a>.</p>
<p class="MsoNormal">Please apply before September 15th, 2013,
although later applications may still be considered.</p>
<p class="MsoNormal">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. </p>
<p class="MsoNormal"><span lang="EN-GB">Regards,</span></p>
<p class="MsoNormal">Walter Senn <br>
</p>
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