Job: 2 post-doc positions in multilingual text mining and media monitoring, JRC

[Thierry Hamon]

Date: Fri, 21 Sep 2012 12:32:04 +0200
From: Ralf Steinberger <ralf.steinberger at jrc.ec.europa.eu>
Message-id: <164601cd97e4$57bd16c0$07374440$@jrc.ec.europa.eu>
X-url: http://recruitment.jrc.ec.europa.eu/
X-url: http://ec.europa.eu/dgs/jrc/index.cfm?id=4790
X-url: http://langtech.jrc.ec.europa.eu
X-url: http://emm.newsbrief.eu/overview.html


Readers on this list may be interested in the following three-year
post-doc positions to work at the European Commission's Joint Research
Centre (JRC) in Ispra, at the Lago Maggiore in Italy.
 
Code: 2012-IPR-G-30-000-00741 - CAT 30 - ISPRA
Multi-lingual and multi-functional information extraction methods and
tools
 
Code: 2012-IPR-G-30-000-00743 - CAT 30 - ISPRA
Engineering Media Monitoring Software Solutions
 
Applicants need to hold a Ph.D. or have at least five years of relevant
post-graduate experience.
 
URL with job details: http://recruitment.jrc.ec.europa.eu/ (select IPSC
institute)

URL with conditions: http://ec.europa.eu/dgs/jrc/index.cfm?id=4790

Application deadline: 17.10.2012

Duration: 36 months

Type of contract: category 30 grant holder

Action: Open Source Text Information Mining and Analysis (OPTIMA)

Scientific website: http://langtech.jrc.ec.europa.eu

EMM online applications: http://emm.newsbrief.eu/overview.html
 
 
Information on the team and its work:
 
The JRC's Global Security and Crisis Management Unit (GlobeSec) supports
the Union's policies to strengthen the EU's resilience to crises and
disasters as well as the EU's aim to promote stability and peace through
its research in crisis management technologies and in information mining
and analysis.
 
The Unit's OPTIMA (Open Source Text Information Mining and Analysis)
Action develops innovative solutions for retrieving and extracting
information from the Internet, and especially from online news and
social media. It serves many Commission Services, EU agencies and some
EU Member State authorities.  The core of this action is the Europe
Media Monitor (EMM). EMM gathers and analyses about 150,000 online news
articles per day in 50 languages.
 
The technologies that have been developed so far in the OPTIMA Action
include multilingual tools for the following tasks: event extraction;
automatic entity recognition, classification and disambiguation; name
variant mapping; co-reference resolution; quotation recognition; opinion
mining; multi-document summarisation; document clustering and
classification; machine translation; information aggregation, including
across languages; and more. Rule-based, as well as Machine Learning and
hybrid methods are being used to achieve these goals.

These techniques are already to some extent being deployed in several
operational applications (see <http://emm.newsbrief.eu/overview.html>
http://emm.newsbrief.eu/overview.html) and part of the work would be in
support of these applications. The on-going research has a strong focus
on applicability in a highly multi-lingual environment. The work is very
practical and goal-oriented. Hands-on experience with developing tools
is thus essential. Research results are expected to be used
operationally. The candidate is expected to contribute to scientific
publications of the research results.
 
 
Ralf Steinberger 
European Commission - Joint Research Centre (JRC)
IPSC - GlobeSec - OPTIMA (OPensource Text Information Mining and
Analysis) 21027 Ispra (VA), Italy

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