<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body text="#000000" bgcolor="#FFFFFF">
<img src="cid:part1.E4FE3E5E.7B21A885@univ-lr.fr" name="Image1"
class="" width="65" height="80" border="0" align="bottom"><font
color="#333333"><font face="Calibri"><font style="font-size: 10pt"
size="2"><b><span style="background: #ffffff"> </span></b></font></font></font><font
color="#333333"><font face="Calibri"><font style="font-size: 24pt"
size="6"><b><span style="background: #ffffff">Post‐Doctoral
Position</span></b></font></font></font><font
face="Calibri"> </font><img
src="cid:part2.1C257987.9BDC8191@univ-lr.fr" name="1" class=""
width="80" height="80" border="0" align="bottom">
<p style="margin-bottom: 0cm; line-height: 100%; page-break-before:
auto; page-break-after: auto" align="center"> <br>
</p>
<p style="margin-bottom: 0cm; line-height: 100%; page-break-before:
auto; page-break-after: auto" align="center"> <font
color="#333333"><font face="Calibri"><font style="font-size:
16pt" size="4"><b><span style="background: #ffffff">Crosslingual
word embeddings for semantic knowledge extraction<br>
</span></b></font></font></font></p>
<p style="margin-bottom: 0cm; line-height: 100%; page-break-before:
auto; page-break-after: auto" align="justify"> <br>
<br>
</p>
Title: Post-doc position on semantic enrichment using crosslingual
word embeddings<br>
Location: L3i laboratory, La Rochelle, France<br>
Duration: 2 years, with possible extension<br>
Net salary range: 2100€-2300 € monthly<br>
Context: H2020 Embeddia project<br>
<br>
Keywords: any-language approaches, word embeddings, named-entity
recognition and linking, multilingual event detection, deep/machine
learning, statistical NLP, (text) data mining<br>
<br>
***<br>
<br>
Applications are invited for a postdoctoral researcher position on
the exploitation of word embeddings for crosslingual text analysis
and semantic enrichment. The Embeddia project (Cross-Lingual
Embeddings for Less-Represented Languages in European News Media) is
a consortium of 9 partners including media and software companies
and computer science research labs aiming to improve the
crosslingual access to European news contents (see the official <a
href="https://cordis.europa.eu/project/rcn/218731/factsheet/en">Embeddia</a>
summary).<br>
In the University of La Rochelle, using novel word embeddings for
low-resourced languages, we are in charge of the crosslingual
detection and linking of named entities, as well as developping
language-independent event detection techniques. The research fellow
will first be in charge of building a state of the art of existing
related approaches, tools and resources, then to conduct further
research and experiments, as well as to participate in the
supervision of master students.<br>
<br>
The work will be conducted in the informatics, image and interaction
laboratory (L3i), within the <a
href="https://cordis.europa.eu/project/rcn/218731/factsheet/en">Horizon
2020 Embeddia project</a>. The L3i is a 100-person computer
science laboratory created in 1993, hosted in the heart of the
historical and sunny seaside city of <a
href="https://www.google.com/search?q=la+rochelle&tbm=isch">La
Rochelle</a>.<br>
The context of work is rather vivid, with a growing international
team around two H2020 projects, and several international events
organised locally (CICLing 2019 in April, a 2-week summer school on
document analysis and understanding in July 2019, etc.).<br>
<br>
What we search for:<br>
<br>
- a PhD in Computer Science, ideally with further postdoctoral
experience<br>
- past experience in statistical NLP, IR, or ML<br>
- proven record of high-level publications in one or more of those
fields<br>
- fluency in written and spoken English (please note:
French-language skills are irrelevant)<br>
<br>
<br>
Applications including a CV and a one-page research statement
discussing how the candidate's background fits requirements and
topic are to be sent to by email to <a
class="moz-txt-link-abbreviated"
href="mailto:antoine.doucet@univ-lr.fr">antoine.doucet@univ-lr.fr</a>,
strictly with the subject "Embeddia postdoc application".<br>
Applications will be reviewed until the position is filled (expected
start: ASAP, latest March or April 2019).<br>
Applications will processed in the begining of January 2019.<br>
<br>
<br>
<pre class="moz-signature" cols="72">--
Antoine Doucet
Full Professor
L3i - Laboratoire Informatique, Image et Interaction
University of La Rochelle - IUT de La Rochelle
<a class="moz-txt-link-freetext" href="http://pageperso.univ-lr.fr/antoine.doucet/">http://pageperso.univ-lr.fr/antoine.doucet/</a> </pre>
</body>
</html>