[Corpora-List] 2 post-doc positions in multilingual text mining and media monitoring at the JRC (Reminder)

[Ralf Steinberger]

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:     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> 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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