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1 job vacancy
in the categories
Computer Sciences PhD Student North Rhine-Westphalia Research Institute
in the categories
Computer Sciences PhD Student North Rhine-Westphalia Research Institute
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PhD Candidate Information Retrieval, Information Extraction
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 located in Cologne, is looking for a
PhD Candidate
Our Benefits:
Interested?
Please apply via our Online-application portal until June, 06th 2023.
Our reference number is: KTS-50.
PhD Candidate
Information Retrieval, Information Extraction
(Salary group 13 TV-L, working time 80%, 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 consortium BERD@NFDI 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 data search, web data discovery, information retrieval and/or information extraction, with respect to research data
- Conceptual design, modeling and implementation of research-based services for harvesting and extraction of as well as search for research data
- Implementing and monitoring strategies to improve data visibility and findability on the web
- Engagement with partners in the consortium and the NFDI
- Dissemination of project results through publications and workshops
- Good university degree (Master/diploma or equivalent) in Computer Science, Data Science or comparable fields
- Knowledge in the areas of data and information retrieval, information extraction (NLP/ML) and/or knowledge graphs
- Experience in software development with Java, Elasticsearch, Web and DB technologies
- Good oral and written communication skills in English, knowledge of German desirable
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.
- A fast growing and international working environment with a lot of creative scientific freedom and access to unique research data
- Excellent career opportunities in research & teaching as well as in software development and data engineering
- Close collaboration and exchange with excellent national and international research labs in AI and data science
- Flexible working hours and the possibility of up to 60% 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 June, 06th 2023.
Our reference number is: KTS-50.