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      -------- Forwarded Message --------
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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            <td>[Ieee_vis_open_positions] A post-doc in 3D Computer
              Vision / Machine Learning at Ecole Polytechnique in France</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Sun, 30 Jun 2019 11:24:06 +0200</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
            <td>Maks Ovsjanikov via ieee_vis_open_positions
              <a class="moz-txt-link-rfc2396E" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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            <td>Maks Ovsjanikov <a class="moz-txt-link-rfc2396E" href="mailto:maks@lix.polytechnique.fr"><maks@lix.polytechnique.fr></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
            <td><a class="moz-txt-link-abbreviated" href="mailto:visu@inria.fr">visu@inria.fr</a>,
              <a class="moz-txt-link-abbreviated" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de">ieee_vis_open_positions@listserv.uni-tuebingen.de</a>,
              <a class="moz-txt-link-abbreviated" href="mailto:compgeom-announce@inria.fr">compgeom-announce@inria.fr</a>, <a class="moz-txt-link-abbreviated" href="mailto:gdr-im@gdr-im.fr">gdr-im@gdr-im.fr</a>,
              <a class="moz-txt-link-abbreviated" href="mailto:cvnet@mail.ewind.com">cvnet@mail.ewind.com</a>, <a class="moz-txt-link-abbreviated" href="mailto:forum@asso-afig.fr">forum@asso-afig.fr</a>,
              <a class="moz-txt-link-abbreviated" href="mailto:visionlist@visionscience.com">visionlist@visionscience.com</a>, <a class="moz-txt-link-abbreviated" href="mailto:geometryprocessing@inria.fr">geometryprocessing@inria.fr</a>,
              <a class="moz-txt-link-abbreviated" href="mailto:eurographics@eg.org">eurographics@eg.org</a></td>
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      ================================================================<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.” 
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      <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="">
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      <div class="">For details please visit the following website:<br
          class="">
        <a href="http://www.lix.polytechnique.fr/~maks/job_offers.html"
          class="" moz-do-not-send="true">http://www.lix.polytechnique.fr/~maks/job_offers.html</a>
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        <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="">
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