[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[InetBib] Research Associate (f/m) in the field of Information Extraction / Text Mining (salary group TV-L EG 13, up to 100%, limited to May 31, 2018), Cologne
- Date: Mon, 28 Nov 2016 19:18:40 +0000
- From: "Mayr-Schlegel, Philipp via InetBib" <inetbib@xxxxxxxxxx>
- Subject: [InetBib] Research Associate (f/m) in the field of Information Extraction / Text Mining (salary group TV-L EG 13, up to 100%, limited to May 31, 2018), Cologne
GESIS - Leibniz-Institute for the Social Sciences is the largest infrastructure
institution for the Social Sciences in Germany. The GESIS department "Knowledge
Technologies for the Social Sciences" (WTS) is focused on advancing digital
services for the Social Sciences on the basis of novel knowledge technologies.
To ensure a high quality of GESIS services WTS is carrying out research in
Information Retrieval and Semantic Web.
For the EU-funded project "Open Mining Infrastructure for Text and Data
(OpenMinTeD)" we are looking for a
Research Associate (f/m)
in the field of Information Extraction / Text Mining
(salary group TV-L EG 13, up to 100%, limited to May 31, 2018)
at our location in Cologne, by February 1, 2017.
Your tasks will be:
- Development of services for mining scientific publications (named entity
recognition and disambiguation, recognition of data citations, topic detection,
automatic categorization, extraction of key messages, context-sensitive
searches)
- Evaluation of Text Mining services with users,
- Integration of the services in Information Retrieval systems,
- Research in the area of Text Mining and Information Retrieval,
- Cooperation with OpenMinTeD partners,
- Publication of project results.
Your profile:
- Excellent university degree in computer science or comparable field,
- Very good knowledge and experience in Text Mining, Natural Language
Processing and Information Retrieval
- Solid experience in software development with Java, Web- and
XML-technologies, database and search technologies,
- High degree of problem solving and communication skills as well as team
capabilities,
- Willingness to travel and to cooperate with project partners,
- Good knowledge in spoken and written German and English.
We support your career development. Information about career paths and
opportunities can be found here.
GESIS guarantees that guidelines regarding employment laws for the disabled and
handicapped as well as laws and regulations governing part-time employment will
be observed. GESIS promotes the professional equality for women and men and is
certified by the European work & family audit.
For further information concerning job description please contact Peter
Mutschke under telephone +49 (0)221-47694-500 or via Email
peter.mutschke(at)gesis(dot)org.
We only process online applications. Please apply here
<https://www.hidden-professionals.de/HP/P_shorts/Now_Candid.aspx?jo=129118>
until December 16, 2016.
The number is WTS-43
The full job announcement can be located here:
<http://www.gesis.org/en/institute/jobs-at-gesis/job-details/news/detail/News/research-associate-fm-in-the-field-of-information-extraction-text-mining-salary-group-tv-l-eg/>
--
Dr. Philipp Mayr
Team Leader
GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8, D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org
Become a sowiport user! Register here:
http://sowiport.gesis.org/
Listeninformationen unter http://www.inetbib.de.