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<td>[Members] 15 PhD positions in GRAPES: Learning,
Processing & Optimising Shapes</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Mon, 20 Jan 2020 14:55:18 +0100</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Eurographics Mailing List (EG Members)
<a class="moz-txt-link-rfc2396E" href="mailto:members@eg.org"><members@eg.org></a></td>
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<td><a class="moz-txt-link-abbreviated" href="mailto:members@eg.org">members@eg.org</a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:general@eg.org">general@eg.org</a></td>
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<br>
<br>
We are pleased to announce 15 Open PhD Positions within the
European Network learninG, pRocessing And oPtimising shapES
(GRAPES).<br>
<br>
-> <a class="moz-txt-link-freetext" href="http://grapes-network.eu/">http://grapes-network.eu/</a><br>
<br>
GRAPES is a Marie Sklodowska-Curie Innovative Training Network in
the framework of Horizon 2020, starting on December 1st, 2019, and
lasts for four years. It includes 11 sites offering 15 PhD's,<br>
6 industrial/academic partners, and is coordinated by ATHENA
Research and Innovation Center, Greece.<br>
<br>
GRAPES aims at considerably advancing the state of the art in
Mathematics, Computer-Aided Design, and Machine Learning in order
to promote game changing approaches for generating, optimising,
and learning 3D shapes, along with a multisectoral training for
young researchers. Recent advances in the above domains have
solved numerous tasks concerning multimedia and 2D data. However,
automation of 3D geometry processing and analysis lags severely
behind, despite their importance in science, technology and
everyday life, and the well-understood underlying mathematical
principles. The CAD industry, although well established for more
than 20 years, urgently requires advanced methods and tools for
addressing new challenges.<br>
<br>
We offer:<br>
<br>
* An exciting research environment including transnational visits<br>
to academic and industrial participants, and to Network-wide
events.<br>
* Full time employment for 3 years, leading to a PhD.<br>
* A competitive (gross) salary comprising of:<br>
- living allowance of 3,270 EUR/month (country correction<br>
coefficient factor to be applied),<br>
- mobility allowance of 600 EUR/month, family allowance of<br>
500 EUR/month (depending on family status).<br>
<br>
Eligible Candidates should at the date of recruitment:<br>
<br>
* Not have resided or carried out their main activity (work,<br>
studies, etc.) in the country where the PhD takes place, for<br>
more than 12 months in the 3 years immediately prior to the<br>
recruitment date - unless as part of a procedure for obtaining<br>
refugee status under the Geneva Convention.<br>
* Be in the first 4 years of their research career and not have<br>
a doctoral degree.<br>
* Have a Master's degree in Computer Science, Mathematics or<br>
Engineering (or an equivalent diploma allowing them to pursue<br>
a PhD).<br>
<br>
The review of applicants will begin immediately and continue until
the positions are filled. The ideal starting date is by September
2020, but any starting date after January 2020 is possible.<br>
<br>
For more information about the individual positions and
application procedure, see: <a class="moz-txt-link-freetext" href="http://grapes-network.eu/">http://grapes-network.eu/</a><br>
<br>
Questions and informal inquiries may be addressed at
<a class="moz-txt-link-abbreviated" href="mailto:grapes@athena-innovation.gr">grapes@athena-innovation.gr</a><br>
<br>
<br>
Kai Hormann<br>
_______________________________________________<br>
Members mailing list -- <a class="moz-txt-link-abbreviated" href="mailto:members@eg.org">members@eg.org</a><br>
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