<div dir="ltr"><div>Please excuse multiple postings</div><div>Application <b>deadline: September 29, 2022</b></div><div><br></div><div><b>2 PhD positions</b> funded by the Groningen Cognitive Systems and Materials Center </div><div><b>(1) Push-Pull Inhibition in Deep Learning</b></div><div><b>(2)</b> <b>Statistical Physics of Learning</b> <b>in Layered Networks</b><br></div><div><br></div><div><div><b>Two fully funded PhD positions (4 years)</b> are available at the</div><div>University of Groningen within the project "Robust Learning of </div><div>Sparse Representations in Neural Networks". </div><div>The official job announcement including more details and contact</div><div>information is now available at </div><div><a href="https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0009H4P" target="_blank">https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0009H4P</a></div><div>All applications should be submitted through this website before September 30, 2022. </div><div><br></div><div>One PhD <b>(PP1)</b> will address the study of <b>"push-pull inhibition" in deep</b></div><div><b>learning</b>, supervised by Dr. George Azzopardi (<a href="http://www.cs.rug.nl/~george" target="_blank">www.cs.rug.nl/~george</a>). </div><div>Candidates should have a strong background in brain inspired computing</div><div>and deep learning. </div><div><br></div><div>The second position <b>(PP2)</b> will be devoted to the <b>statistical physics</b></div><div><b>based analysis</b> of model situations. Candidates for PP2 should have </div><div>a strong background in (theoretical) physics, ideally with </div><div>experience in the statistical physics based theory of neural networks</div><div>and learning.<br clear="all"><div><br></div><div>Both positions will be <b>fully funded (4 years) </b>by the </div><div>Groningen Cognitive Systems and Materials Center </div><div><a href="https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en" target="_blank">https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en</a></div></div></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div>---------------------------------------------------</div>
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<div>Prof. Dr. Michael Biehl</div>
<div>Bernoulli Institute for</div>
<div>Mathematics, Computer Science</div><div>and Artificial Intelligence</div>
<div>P.O. Box 407, 9700 AK Groningen</div>
<div>The Netherlands</div><div><br></div>
<div>https://<a href="http://www.cs.rug.nl/~biehl" target="_blank">www.cs.rug.nl/~biehl</a></div>
<div><a href="mailto:m.biehl@rug.nl" target="_blank">m.biehl@rug.nl</a> </div></div></div></div></div></div></div></div></div>