Job: 2 post-doc positions in multilingual text mining and media monitoring at the JRC (Reminder)

Thierry Hamon thierry.hamon at UNIV-PARIS13.FR
Tue Oct 9 20:42:56 UTC 2012

Date: Tue, 09 Oct 2012 17:20:12 +0200
From: Ralf Steinberger <ralf.steinberger at>
Message-id: <05cc01cda631$94044ad0$bc0ce070$>

REMINDER: Deadline for application is 17 October 2012

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: (select IPSC

URL with conditions:

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:

EMM online applications:

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 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

21027 Ispra (VA), Italy

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