Student Research Assistant, Team Transparent Social Analytics (SHK-CSS-40)
Köln
Part-time
Working Student
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 as soon as possible, our Department Computational Social Science (CSS), Team Transparent Social Analytics located in Cologne, is looking for a
Student Research Assistant
(15,20 € / 16,09 € hourly rate, 10 hrs./week, temporary)
The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and analyzing such data for social science research. It also supports scientists with the integration of digital behavioral data into their research designs. The department's research focuses on the quality of digital behavioral data, the development and validation of computational social science methods and the transformation of digital societies. The Transparent Social Analytics team specifically works on making methods for the analysis of digital behavioral data transparent and accessible, among other things as part of the research-supporting infrastructure GESIS Methods Hub.
Your tasks will be:
- Work in an interdisciplinary team developing innovative Open Science services for Digital Behavioral Data
- Support the documentation and provision of Computational Social Science methods
- Contribute to AI-enabled social science research infrastructure, including agentic workflows and AI-features
- Review current research literature at the intersection of Data Science, AI, and the social sciences
Your profile:
- Enrolled in an advanced Bachelor’s or Master’s programme in Sociology, Political Science, Communication Studies, Linguistics, Computer Science, Data Science, or a related field
- Strong knowledge of Python and/or R, with a willingness to develop foundational skills in the other language
- Interest in addressing social science research questions using computational methods (Computational Social Science)
- First experiences in applying Data Science and AI methods to analyse digital behavioral data (e.g., social media or tracking data) for social-science research
- Excellent English language skills; proficiency in German is an advantage
Our Benefits:
- An interdisciplinary and international working environment with a friendly and collegial atmosphere, offering plenty of opportunities for professional and methodological development.
- Exciting insights into the strategic and technical development of an innovative service designed to support social science research
- Excellent conditions for balancing your studies with your work as a student assistant
- Flexible working hours and regulations for mobile working
- Holistic company health management and discounted participation in the university's sports programme
- Promotion of your skills through further training measures
Contact
Interested?
Please apply via our Online-application portal until 30.11.2026.
Our reference number is: SHK-CSS-40
Our reference number is: SHK-CSS-40
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.
