<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Dear all<br class=""><div><div class=""><div class="" style="caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;"><div class="" style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><p class="MsoNormal"><span lang="EN-GB" class="" style="text-align: justify;">One postdoc position devoted to</span><span lang="EN-GB" class="" style="text-align: justify;"> learning in deep cortical networks is available in the Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focussed on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The position is focussed on formalizing the dendritic processing of cortical pyramidal neurons, in particular on combining top-down and bottom-up information streams within pyramidal neurons, and in integrating these neurons in deep networks. </span></p><p class="MsoNormal"><span lang="EN-GB" class="">The position is part of a collaboration with Profs Fritjof Helmchen and Giacomo Indiveri (UniZH / ETHZ) supported by the Swiss National Science Foundation and is available from January 1<sup class="">st</sup>, 2021, for 2 years (extendable). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (</span><span lang="DE-CH" class=""><a href="file:///Users/walter/Documents/Walter_Physio/admin/ownPositionAnnouncments/HBP_PosAnnouncments2020/physio.unibe.ch/gruppen.aspx" class=""><span lang="EN-GB" class="">physio.unibe.ch/gruppen.aspx</span></a></span><span lang="EN-GB" class="">), as well as close collaborations with other labs in neuroscience, artificial intelligence and neuromorphic engineering.<o:p class=""></o:p></span></p><p class="MsoNormal"><span lang="EN-GB" class="">Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (</span><span lang="EN-GB" class=""><a href="mailto:walter.senn@unibe.ch" class="">walter.senn@unibe.ch</a>) and Mihai Petrovici (<a href="mailto:mihai.petrovici@unibe.ch" class="">mihai.petrovici@unibe.ch</a>), with cc to Virginie Sabado (<a href="mailto:virginie.sabado@unibe.ch" class="">virginie.sabado@unibe.ch</a>). The first evaluation round will begin on November 8, 2020. The positions will remain open until filled.</span></p><p class="MsoNormal">With best regards,</p><div class="">Mihai Petrovici and Walter Senn</div></div></div></div></div><br class=""></body></html>