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lang="EN-US"><b>Postdoctoral position : Affective image and
video content analysis for entertainment and education-
University of Poitiers (XLIM)</b><br>
</span></p>
<p><span class="fontstyle2"><b><span class="fontstyle0">Background
and objectives:</span></b> </span></p>
<p><span class="fontstyle2"></span></p>
<span class="fontstyle0"></span>
<p><span class="fontstyle2">The University of Poitiers and the XLIM
laboratory has an opening for outstanding recent PhD </span><br>
<span class="fontstyle2"><span class="fontstyle2">or Postdoc with
expertise in multimedia data analysis and machine learning
with a focus on deep<br>
learning) and multimodal data processing.<br>
The postdoctoral researcher will work on affective analysis of
multimedia data for entertainment and<br>
education. This fellowship is a part of the Emotional
Artificial Intelligence (IART-EMO) action from the<br>
CPER-FEDER project "E-Education” founded by the Nouvelle
Aquitaine Region, in partnership with the<br>
European Union (FEDER/ ERDF, European Regional Development
Fund). The fellowship has a duration<br>
of 15 months with possibility of extension, starting from
September 2021. The candidate will work on<br>
developing new deep learning-based approaches for image and
video affective content analysis,<br>
classification, and retrieval. He/she will have access to
local datasets and computational resources,<br>
including GPUs. </span><span class="fontstyle3">The work will
be carried in the </span><span class="fontstyle3"
style="color:rgb(0,0,255);">ICONES </span><span
class="fontstyle3">team from the </span><span
class="fontstyle3" style="color:rgb(0,0,255);">XLIM </span><span
class="fontstyle3">Laboratory</span></span><span
class="fontstyle3"> <br>
</span></p>
<p><span class="fontstyle3">(Futuroscope, Poitiers), at the </span><span
class="fontstyle3" style="color:rgb(0,0,255);">University of
Poitiers</span><span class="fontstyle3">.</span></p>
<p><span class="fontstyle3"></span></p>
<span class="fontstyle0"><b>Qualification and required skills:</b><br>
</span><span class="fontstyle2">Candidates are expected to have
outstanding academic credentials with an earned doctorate in<br>
Computer Vision, Machine Learning, Image processing or a closely
related field, a relevant scientific<br>
track record on major computer vision conferences/journals is a
criterion for the selection as well as<br>
experience on deep learning techniques and platforms. Experience
on affective computing is</span><span class="fontstyle2">
considered a plus for this position.</span><span
class="fontstyle2"></span>
<p><span class="fontstyle2"></span><span class="fontstyle0"><b>Salary</b>:</span><span
class="fontstyle2"> Around </span><span class="fontstyle2"
style="color:rgb(34,34,34);">2</span><span class="fontstyle2">000
euros per month net income (depending on the candidate
experience)</span><br>
<span class="fontstyle2"></span></p>
<span class="fontstyle0"><b>Application:</b><br>
</span><span class="fontstyle2">Please include a CV, a statement of
research interests and 2 letters of reference emailed to Dr. </span><span
class="fontstyle2" style="color:rgb(0,0,255);">Olfa<br>
Ben Ahmed </span><span class="fontstyle2">at
<a class="moz-txt-link-abbreviated" href="mailto:olfa.ben.ahmed@univ-poitiers.fr">olfa.ben.ahmed@univ-poitiers.fr</a>. The call will remain open until
the position is filled.</span>
<p><span class="fontstyle2"></span></p>
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font-style: normal; font-variant-ligatures: normal;
font-variant-caps: normal; font-weight: 400; letter-spacing:
normal; orphans: 2; text-indent: 0px; text-transform: none;
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255); text-decoration-thickness: initial; text-decoration-style:
initial; text-decoration-color: initial; text-align: justify;"><br>
</p>
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font-family: Arial, Helvetica, sans-serif; font-size: small;
font-style: normal; font-variant-ligatures: normal;
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normal; orphans: 2; text-indent: 0px; text-transform: none;
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<pre class="moz-signature" cols="72">--
Dr. Olfa BEN AHMED
Associate professor/Maître de conférences
XLIM - University of PoitiersMember of ICONES team
Bât SP2MI, 11 Bd Marie et PierreCurie,
86962 Chasseneuil Cedex,France
phone : +33 (0)5 49 49 74 91
fax : +33 (0)5 49 49 65 70
email : <a class="moz-txt-link-abbreviated" href="mailto:olfa.ben-ahmed@xlim.fr">olfa.ben-ahmed@xlim.fr</a>
Institut universitaire de technologiede Poitiers,
site de Poitiers, Batiment C14
14, allée Jean Monnet-TSA 41 114
86073, Potiers Cedex 9
phone : + 33 5 49 45 34 54
fax : + 33 5 49 45 34 53
email : <a class="moz-txt-link-abbreviated" href="mailto:olfa.ben.ahmed@univ-poitiers.fr">olfa.ben.ahmed@univ-poitiers.fr</a>
Visio : <a class="moz-txt-link-freetext" href="https://univ-poitiers.webex.com/meet/olfa.ben.ahmed">https://univ-poitiers.webex.com/meet/olfa.ben.ahmed</a></pre>
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