Research Associate in Information Extraction & Knowledge Graphs @ KTS/GESIS

GESIS – Leibniz Institute for the Social Sciences is an internationally 
active research institute, funded by federal and state governments and 
member of the Leibniz Association.

For the next possible date our Department Knowledge Technologies for the 
Social Sciences (KTS), Team FAIR Data and Human Information Interaction 
located in Cologne, is looking for a

*Research Associate in the field of Information Extraction & Knowledge 
Graphs*
*(**Salary group 13 TV-L, working time 80% (temporary extensions 
possible), limited to September 2026, PhD possible**)*

The department Knowledge Technologies for Social Sciences (KTS) conducts 
research at the intersection of information retrieval, knowledge graphs, 
human information interaction and machine learning as foundation for 
innovative web portals and platforms for the search and use of research 
data. KTS innovations are based on a state-of-the-art software stack and 
research-based innovations in the aforementioned fields.

In the context of the consortium NFDI4DataScience of the *National 
Research Data Infrastructure (**NFDI* <https://www.nfdi.de/en-gb>*)* KTS 
develops innovative services with the goal to improve the reusability of 
research data for data science and artificial intelligence.

Your tasks will be:
* Research in the areas of natural language processing, knowledge graphs 
and/or machine learning, in particular with respect to the integration 
of research data
* Conceptual design, modeling and implementation of research-based 
services for the extraction and linking of data and their integration 
into a joint research knowledge graph
* Engagement with partners in the NFDI research consortia and exchange 
with relevant communities (e.g. GO FAIR, RDA, EOSC)
* Dissemination of project results through publications and workshops

Your profile:
* Good university degree (Master or equivalent) in Computer Science, 
Data Science or comparable fields
* Good expertise in the areas of semantic technologies, knowledge 
extraction, NLP, knowledge graphs
* Solid experience in software development with Java, Python, 
Elasticsearch, Web and DB technologies
* Good oral and written communication skills in English, knowledge of 
German desirable

We offer:
* Flexible working hours and home office arrangements
* A fast growing and international working environment with a lot of 
creative scientific freedom
* Excellent career opportunities in research as well as in software 
development and data engineering
* Access to unique research data, web archives and behavioral data
* Support of collaborations with international research institutes and 
experts through an extensive international exchange programme

For further information concerning the tasks please contact Peter 
Mutschke via phone +49 (0221) 47694 - 500 or via *E-Mail* 
<mailto:peter.mutschke@gesis.org>. If you have questions about the 
application process, please contact Anna Klein via E-Mail.

Interested?

Find more information and how to apply here: 
<https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/23580/Wissenschaftliche-r-Mitarbeiter-in-im-Bereich-Informationsextraktion-Wissensgraphen?lang=en-US>.
*Application deadline: Feb 27, 2022* (reference number: KTS-18)

Received on Tuesday, 15 February 2022 05:41:07 UTC