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<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
lang="EN-US">Postdoc position in Paris , France: Deep learning
for multivariate and heterogeneous time series.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
lang="EN-US">The machine learning group at University Pierre et
Marie Curie (UPMC) in Paris, is looking for a highly motivated
postdoc on the topic “Deep learning for multivariate and
heterogeneous time series”.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
style="color:windowtext" lang="EN-US">This work is part of a
EU-RFCS project “Predictive Sensor Data Mining for Product
Quality Improvement” (PRESED). The general goal of the PRESED
project is the improvement of quality of steel production plants
by the online analysis of multiple sensor data. The sensors
provide complex multivariate and heterogeneous time series
covering the whole production chain. The objective of the
postdoc is the development of new statistical methodologies
based on deep learning and representation learning for the
analysis of such time series. This topic offers a unique
opportunity to explore and extend the field of deep learning on
complex temporal data and will be conducted in close
collaboration with ArcelorMittal Global R&D (coordinator of
the European project).</span><span style="color:windowtext"
lang="EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
lang="EN-US">The successful candidate will have a strong
background in machine learning, applied statistics or related
fields. He should also have an experience in large size
experimental data analysis. Preference will be given to
candidates with sufficient programming skills.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
lang="EN-US">The appointment is initially for one year
(extendable depending on work progress), between july and
september 2015</span><span lang="EN-US">. Gross annual salary is
in the range 30, 000 – 35, 000 euros.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto"><span
lang="EN-US">UPMC is in the center of Paris and is one of the
foremost scientific universities in France. The position is
opened at the Machine Learning and Information Access (MLIA)
team, whose core research is machine learning with applications
in semantic (text and image) data analysis. The team is composed
of 3 professors and 3 assistant professors plus around 10 PhDs
and Postdocs.<o:p></o:p></span></p>
<span lang="EN-US">Candidates should send a CV and an accompanying
letter to
<a href="mailto:patrick.gallinari@lip6.fr">patrick.gallinari@lip6.fr</a>.</span>
<pre class="moz-signature" cols="72">--
Prof. Patrick Gallinari
UPMC - LIP6
Boite 169
4 place Jussieu, 75252 Paris Cedex 05, France
Tel: 33144277370, fax: 33144277000
<a class="moz-txt-link-freetext" href="http://www-connex.lip6.fr/~gallinar/">http://www-connex.lip6.fr/~gallinar/</a> </pre>
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