GESIS – Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and a member of the Leibniz Association.
Starting from the next possible date, our Department Knowledge Technologies for the Social Sciences (KTS), Team FAIR Data, located in Cologne, is looking for three
Student Research Assistants
(13,98 € / 14,87 € hourly rate, 10 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 a foundation for innovative web portals and platforms for the search and use of research data. In the context of consortia NFDI4DataScience of the National Research Data Infrastructure (NFDI), KTS develops innovative services with the goal of improving the integration, search, and reusability of research data for data science and artificial intelligence. In this context, we are looking for student assistants for annotation work to support a shared task on information extraction from scientific publications, under NFDI4DataScience.
Student Research Assistants, Team FAIR Data (SHK-KTS-20)
Köln
Part-time
Working Student
Your tasks will be:
- Annotating scientific papers for named entity recognition (NER) and relation extraction (RE) tasks, following the annotation guidelines.
- Assisting with shared task organizational activities, including platform maintenance and participant communication.
- Contributing to the construction of gold-standard annotations for scholarly entity mentions (machine learning model, dataset and task mentions, etc.) from computer science research publications, to support a shared task on information extraction.
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 regulations for mobile working
- Very good conditions for reconciling work and family life
Contact
Interested?
Please apply via our Online-application portal until 05.05.2026.
Our reference number is: SHK-KTS-20
Our reference number is: SHK-KTS-20
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.
