Student Research Assistant, Team FAIR Data
Student Research Assistant, Team FAIR Data
Student Research Assistant, Team FAIR Data
Student Research Assistant, Team FAIR Data
GESIS Leibniz Institut für Sozialwissenschaften
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Köln
- Art der Anstellung: Vollzeit
- Vor Ort
Student Research Assistant, Team FAIR Data
Über diesen Job
Working_student part-time Köln
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.
Starting on
September 1, 2025
our Department
Knowledge Technologies for the Social Sciences (KTS)
,
Team FAIR Data
located in
Cologne
, is looking for a
Student Research Assistant
(13,98 € / 14,87 € hourly rate, 19 hrs./ week, temporary)
The department
Knowledge Technologies for Social Sciences
(KTS)
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. In the context of consortia
NFDI4DataScience
and
BERD@NFDI
of the
National Research Data Infrastructure (
NFDI
)
, KTS develops innovative services with the goal to improve the integration, search and the reusability of research data for data science and artificial intelligence. In this context, we are looking for one student assistant on site for annotation work for the purpose of building a ground truth dataset for knowledge linking and information extraction annotation tasks.
Your tasks will be:
- Contributing to the construction of a ground truth dataset for the cluster curation of scholarly entity mentions (machine learning model, dataset and task mentions, etc.) from computer science research publications
- Disambiguating and linking scholarly entity mentions to external knowledge bases
- Facilitating data analysis of the clustering and linking tasks
Your profile:
- Master student in computer science, data science, information science or related fields
- Good knowledge of machine learning in NLP, CV and other related fields
- Experience in computer science research publication reading
- Professional command of English
Our Benefits:
- Gaining experience on state-of-the-art ML and AI methods
- A fast growing and international working environment with access to unique datasets
- Flexible working hours and the possibility of up to 60% mobile working within Germany
- Very good conditions for reconciling work and family life
- Holistic company health management and discounted participation in the university's sports programme
Contact
For further information concerning the tasks please contact Dr. Lu Gan via E-Mail . If you have questions about the application process, please contact Franca Tosetti via E-Mail .
Interested?
Please apply via our Online-application portal until August 5, 2025.
Our reference number is:
SHK-KTS-18
About us
GESIS is one of the world's leading social science infrastructure facilities, supporting researchers at all levels of their research projects with expertise and infrastructure services. We help ensure that socially relevant questions can be answered based on reliable data, the latest scientific methods and research information. We help with study planning and data collection, provide high-quality research data, support with data preparation and analysis, and finally with data archiving.
GESIS helps you gain further qualifications. We offer our employees a wide range of
career opportunities
in an appealing work environment with a high degree of personal responsibility and creative freedom. With us, you will work in an international environment in the heart of Mannheim and Cologne and benefit from a flexible work environment as well as internal and external networks.
GESIS ensures compliance with the guidelines for the severely disabled and promotes professional equality between women and men. Full-time positions can also be filled on a part-time basis.
As a family-friendly employer, we have been certified by the " berufundfamilie ” audit since 2010.
Further information on working at GESIS can be found here .
Unternehmens-Details
GESIS Leibniz Institut für Sozialwissenschaften
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