<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">================================================================<br class="">Title: A Post-doctoral positions in 3D Computer Graphics / Machine Learning<br class="">Location: Ecole Polytechnique, France<br class="">Start date: January 2020 - March 2020<br class="">================================================================<br class=""><br class="">Description:<br class=""><br class="">A postdoctoral researcher position is available at the LIX research laboratory of Ecole Polytechnique in France, in the area of "Analyzing Large Scale 3D Shape Collections.” <div class=""><br class=""></div><div class="">The goal of the project is to develop tools for the analysis of large-scale 3D shape collections, by designing novel Machine Learning techniques capable of processing and manipulating geometric data. The ultimate goal is to design tools for shape labeling, recognition, and matching across geometric data in 3D. </div><div class=""><br class=""></div><div class="">For details please visit the following website:<br class=""><a href="http://www.lix.polytechnique.fr/~maks/job_offers.html" class="">http://www.lix.polytechnique.fr/~maks/job_offers.html</a><div class=""><br class=""></div><div class="">Candidates must have a PhD at the starting time of the post-doc, and should have publications in top venues in either Computer Graphics, Geometry Processing (e.g., SIGGRAPH, Eurographics, SGP) or Computer Vision (CVPR, ICCV, NIPS, etc.). The expected duration of the post-doc is 2 years.<br class=""><br class="">Successful candidates will work at Ecole Polytechnique located in Palaiseau, Paris area, France. The project will be supervised by Maks Ovsjanikov.<br class=""></div></div></body></html>