Job offer

European Commission; Deutschland; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A research institute in Germany is looking for a Research Associate to develop and operate software services for the Jupyter4NFDI project. This role requires a university degree in computer science and experience with programming (R, Python). Responsibilities include designing training materials and conducting research on computational reproducibility. The ideal candidate will have a good command of English and experience with Jupyter tools.

Leistungen

Flexible working hours

Holistic company health management

Subsidies for childcare

Generous support for pension provision

Discounted participation in sports programme

Qualifikationen

• University degree in computer science or similar discipline.
• 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 is an advantage.

Aufgaben

• Development and operation of software services for NFDI.
• Designing training materials and courses for data analysis.
• Gathering requirements in collaboration with NFDI consortia.

Kenntnisse

Development and operation of software services

Experience with programming languages (R, Python)

Good command of English

Experience in community building and project management

Experience with Jupyter, BinderHub

Ausbildung

University degree (diploma, master's) in computer science

Jobbeschreibung

Organisation/Company GESIS - Leibniz Institut für Sozialwissenschaften Department Cologne/Mannheim Research Field Sociology Researcher Profile First Stage Researcher (R1) Positions Other Positions Country Germany Application Deadline 7 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 39,5 Offer Starting Date 1 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CSS-112 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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, 2025our Department Computational Social Science (CSS), Team Transparent Social Analyticslocated 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
• 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 contactDr. Arnim Bleiervia E-Mail ([e-mail] ).If you have questions about the application process, please contactFranca Tosettivia E-Mail ([e-mail] ).

Interested?

Please apply via our Online-application portal until September 07th, 2025.

Our reference number is:CSS-112