Dear colleagues,
Starting on *1. October 2026 *our GESIS department *Knowledge
Technologies for the Social Sciences (KTS)*, *Team Information and Data
Retrieval* located in *Cologne* is looking for a
*Postdoctoral Researcher in Natural Language Processing and Research
Knowledge Graphs*
*(Salary group 13 TV-L, working time 100%, limited till 31.12.2028,
option to extend)*
The department *Knowledge Technologies for Social Sciences (KTS*
<https://www.gesis.org/en/institute/departments/knowledge-technologies-for-the-social-sciences>*)* conducts
research at the intersection of information retrieval, natural language
processing, semantic technologies and human information interaction as
foundation for innovative web portals and platforms for the search and
use of research data for example the GESIS Knowledge Graph
<https://data.gesis.org/gesiskg/site/>.
AI is transforming the scientific process across disciplines. In the
NFDI4DS project, we develop infrastructures that empower researchers to
responsibly adopt AI methods—for example, by establishing fair
benchmarking protocols, ensuring transparent evaluation and
documentation of AI models and LLMs, and curating a repository of open,
reusable AI-based methods, along with related training materials and
events. In this context, we are seeking a motivated researcher to
coordinate and lead these activities.
*Your tasks will be:*
* Lead dedicated work packages and a team of researchers within the
NFDI4DS <https://www.nfdi4datascience.de/> project including
coordination with project partners and supervision of PhD students
* Research scholarly information extraction and develop methods for
building Research Knowledge Graphs (e.g., GESIS KG
<https://data.gesis.org/gesiskg/site/>)
* Develop, integrate, and evaluate services, models, and systems using
established benchmarks
* Advance the NFDI4DS Academy through community engagement, content
acquisition (methods, tutorials, training material) and integration
with third party infrastructures
* Exchange with scientific and user communities and dissemination of
project results through publications and workshops at national and
international level
*Your profile:*
* Scientific university degree (Master) and completed a PhD in
computer science, data science, or a related field
* Experience in project management
* Proven experience in NLP research and knowledge graphs, specifically
in the context of scholarly information extraction
* Very good experience in software development with Python,
AI-tooling, NLP technologies and database technologies
* Very good verbal and written communication skills in English; good
knowledge of German desirable
*Contact*
For further information concerning the tasks please contact Philipp Mayr
via phone +49 221 47694 533 or via E-Mail ([email protected]). If
you have questions about the application process, please contact Franca
Tosetti via E-Mail ([email protected]).
*Interested?*
Please apply via our Online-application portal until *27 July 2026*.
<https://gesis.jobs.personio.de/job/2709312?language=en
<https://gesis.jobs.personio.de/job/2709312?language=en>>
Please feel free to share further.
--
Prof. Dr. Stefan Dietze
Scientific Director Knowledge Technologies for the Social Sciences
GESIS - Leibniz Institute for the Social Sciences
Web: https://www.gesis.org/en/kts
Chair of Data & Knowledge Engineering
Heinrich-Heine-University Düsseldorf
Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering
Phone: +49 (0)221-47694-421
Web: http://stefandietze.net
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