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Information Technology Computer Sciences PhD Student North Rhine-Westphalia Research Institute
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Information Technology Computer Sciences PhD Student North Rhine-Westphalia Research Institute
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PhD Candidate Natural Language Processing (NLP), Knowledge Graphs
Published
Application deadline
Part-time position
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
PhD Candidate
(Salary group 13 TV-L, working time 80% (temporary extensions possible),
Interested?
Please apply via our Online-application portal until July 31, 2022. Our reference number is: KTS-29
PhD Candidate
Natural Language Processing (NLP), Knowledge Graphs
(Salary group 13 TV-L, working time 80% (temporary extensions possible),
limited to September 2026)
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 consortia BERD@NFDI and KonsortSWD of the National Research Data Infrastructure (NFDI) KTS develops innovative services with the goal to improve the search for and the findability of research data.
Your tasks will be:
- Research in the areas of natural language processing, knowledge graphs, machine learning and/or information retrieval, with respect to research data
- Conceptual design, modeling and implementation of research-based services for the extraction and linking of data and their integration into knowledge graphs
- Engagement with partners in the NFDI, exchange with relevant communities (e.g. GO FAIR, RDA, EOSC)
- Dissemination of project results through publications and workshops
- Good university degree (Master or equivalent) in Computer Science, Data Science or comparable fields
- Good expertise in the areas of NLP, knowledge extraction, semantic technologies, knowledge graphs and/or information retrieval
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. As an infrastructure institution, we promote social science research and cooperate with renowned international research institutes.
GESIS supports your PhD, i.e., with our
GESIS Doctoral Program. GESIS supports your career development. We offer a wide range of
career opportunities in an attractive and rewarding work environment that allows you to carry out your tasks in a creative and autonomous manner. You will work in an international environment in the heart of Cologne and benefit from our flexible working conditions as well as our extensive internal and external networks.
GESIS is an equal opportunity employer and adheres to disability regulations.
We are a family-friendly employer and have been certified by the audit Work&Family since 2010.
You will find further information here.
- Experience in software development with Java, Python, Elasticsearch, Web and DB technologies
- Good oral and written communication skills in English, knowledge of German desirable
- 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
- Flexible working hours and possibility of mobile working within Germany
- Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
- Holistic company health management and discounted participation in the university's sports programme
- Generous support for your pension provision as a direct insurance policy
- Promotion of your skills through further training measures
Interested?
Please apply via our Online-application portal until July 31, 2022. Our reference number is: KTS-29