<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">==============================<wbr class="">=============</div><div class="">Title: Post-doctoral research position in <br class=""></div><div class="">3D Geometry Processing / Computer Graphics / Computer Vision</div><div class="">Location: Ecole Polytechnique, France</div><div class="">Start date: May-October 2018</div><div class="">==============================<wbr class="">=============</div><div class=""><br class=""></div><div class="">Description:</div><div class=""><br class=""></div><div class="">One postdoctoral researcher position is available at the LIX research laboratory of Ecole Polytechnique in France, in the area of:</div><div class=""><br class=""></div><div class="">“Analyzing Large Scale 3D Shape Collections"</div><div class=""><br class=""></div><div class="">The goal of this project is to develop tools for the analysis and processing of complex geometric data, such as large-scale 3D model collections, by building on techniques from Computer Graphics, Computer Vision, Geometry Processing and Machine Learning. The ultimate objective is to create a unified framework for analyzing geometric data to solve problems such as: shape comparison and matching, shape segmentation and labeling, shape deformation and recognition among others. <br class=""></div><div class=""><br class=""></div><div class="">The ideal candidate should have strong background in at least some of the following:</div><div class=""><br class=""></div><div class=""> - Geometry Processing and 3D shape analysis</div><div class=""> - Computer Graphics</div><div class=""> - Computer Vision and Image Processing</div><div class=""> - Knowledge of basic Differential Geometry</div><div class=""> - Machine Learning</div><div class=""> - Programming experience, especially in multimedia data analysis</div><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 (e.g., SIGGRAPH, Eurographics, SGP), Computer Vision (CVPR, ICCV, NIPS, etc.) or a related field. The expected duration of the post-doc is 2 years.</div><div class=""><br class=""></div><div class="">Venue and supervision:</div><div class=""><br class=""></div><div class="">Successful candidates will work at Ecole Polytechnique located in Palaiseau, Paris area, France. The project will be supervised by Maks Ovsjanikov (LIX, Ecole Polytechnique):</div><div class=""><br class=""></div><div class=""><a href="http://www.lix.polytechnique.fr/~maks" target="_blank" class="">http://www.lix.polytechnique.f<wbr class="">r/~maks</a></div><div class=""><br class=""></div><div class="">How to apply:</div><div class=""><br class=""></div><div class="">To apply, please contact Maks Ovsjanikov (<a href="mailto:maks@lix.polytechnique.fr" target="_blank" class="">maks@lix.polytechnique.fr</a>). In your email, please include your CV, a short cover letter and a publication list. In your cover letter, make sure to mention how your interests and experience relate to the topics in this announcement.</div><div class=""><br class=""></div><div class="">Reference letters are optional but may need to be provided upon request.</div></body></html>