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.

Ihr Aufgabengebiet:

• 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

Ihr Profil:

• 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

Wir bieten:

• 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

Kontakt

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 .

Wir haben Ihr Interesse geweckt?

Please apply via our Online-application portal until August 5, 2025.

Our reference number is: SHK-KTS-18