<div dir="ltr">Dear all,<br><br>We are happy to announce an open 4-years PhD position on the theoretical and practical aspects of sparse training for sparse neural networks at Eindhoven University of Technology. For a gentle introduction please see:<div><a href="https://numenta.com/blog/2020/10/30/case-for-sparsity-in-neural-networks-part-2-dynamic-sparsity" target="_blank">https://numenta.com/blog/2020/10/30/case-for-sparsity-in-neural-networks-part-2-dynamic-sparsity</a></div><div>An example of our work on the topic is here:</div><div><a href="https://www.nature.com/articles/s41467-018-04316-3" target="_blank">https://www.nature.com/articles/s41467-018-04316-3</a><br><br>The PhD candidate is expected to contribute to:  <br><ul><li>developing novel sparse-to-sparse training algorithms</li><li>achieving theoretical understanding of dynamic sparsity in neural networks</li><li>studying both cloud computing and low-resource device settings</li><li>translating research findings into the application domain of autonomous driving</li></ul><div>More details and the application procedure can be found here (the application deadline is 31 January 2021):</div></div><div><ul><li><a href="https://jobs.tue.nl/en/vacancy/phd-position-in-ai-deep-learning-sparse-training-and-autonomous-driving-868256.html" target="_blank">https://jobs.tue.nl/en/vacancy/phd-position-in-ai-deep-learning-sparse-training-and-autonomous-driving-868256.html</a></li></ul></div><div>Best wishes,</div><div>Decebal Mocanu</div></div>