Research Associate for Jupyter4NFDI | Wissenschaftliche*n Mitarbeiter*in für Jupyter4NFDI
GESIS - Leibniz-Institut für Sozialwissenschaften
Job Summary
GESIS – Leibniz Institute for the Social Sciences is seeking a Research Associate to join their Computational Social Science (CSS) department in Cologne. This role is integral to the Jupyter4NFDI project, which aims to establish and operate a foundational service for accessible computing infrastructures within Germany's National Research Data Infrastructure (NFDI). The successful candidate will be responsible for building and operating software services, developing training materials for reproducible data analysis, and gathering requirements from NFDI consortia. Key tasks include managing BinderHub and JupyterHub instances and conducting research in computational reproducibility. This position offers an exciting opportunity to contribute to a significant national research initiative, collaborating with leading computing centers and international projects like MyBinder.org, while benefiting from a supportive, family-friendly work environment.
Required Skills
Education
University degree (Diplom, Master, or equivalent) in Computer Science, Data Science, Software Engineering, or a comparable field.
Experience
- Experience in community building and management
- Experience with programming languages such as R and Python
- Experience with Jupyter and BinderHub
- Experience in computational reproducibility
Languages
Additional
- Not specified
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