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 October 1, 2025 our Department Computational Social Science (CSS) , Team T ransparent Social Analytics located in Cologne , is looking for a

Research Associate for Jupyter4NFDI

(Salary group 13 TV-L, working time 100 %, limited until 30. September 2027)

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 advertised position is part of the project Jupyter4NFDI . The goal of the project is to establish and operate a basic service that provides low-barrier access to computational resources within the framework of the National Research Data Infrastructure (NFDI). The project is being implemented in collaboration with leading Tier 2 and Tier 1 scientific computing centers in Germany. Furthermore, Jupyter4NFDI is collaborating with international projects such as the MyBinder.org federation.

Your tasks will be:

• Development and operation of software services within the framework of the National Research Data Infrastructure (NFDI)
• Design and implementation of training materials and courses on reproducible data analysis
• Requirements gathering in collaboration with NFDI consortia and NFDI basic services
• Operation of BinderHub and JupyterHub instances
• Conducting research in the area of computational reproducibility

Your profile:

• University degree (diploma, master's degree or comparable degree) in computer science or a similar discipline (e.g., data science, software engineering)
• Experience in community building and project management
• Experience with programming languages such as R and Python
• Good command of English, both spoken and written
• Experience with Jupyter, BinderHub, and computational reproducibility is an advantage

Our Benefits:

• Promotion of your skills through further training measures, e.g., on software technologies required for the tasks.
• Funding for the participation in relevant conferences in the field software development (e.g, PyCon)
• Flexible working hours and regulations for mobile working
• 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

Contact

For further information concerning the tasks please contact Dr. Arnim Bleier via E-Mail (arnim.bleier@gesis.org). If you have questions about the application process, please contact Franca Tosetti via E-Mail (franca.tosetti@gesis.org).

Interested?

Please apply via our Online-application portal until September 07 ^th , 2025. Our reference number is: CSS-112