Mach aus dieser Rolle ein Vorstellungsgespräch — ein Lebenslauf und ein Anschreiben, die darauf ausgerichtet sind, was dieser Arbeitgeber sucht.
GESIS - Leibniz-Institute for the Social Sciences in Cologne is looking for a Doctoral Researcher in spatial data management. The position is a 3-year fixed-term appointment at Salary group 13 TV-L, working time 75%.
Your tasks include setting up data storage, developing the R interface for Electoral Spaces, testing the tech stack, supporting data modeling and curation workflows, and contributing to documentation and dissemination. A Master’s degree and strong GIS/R skills are required.
Organisation/Company GESIS - Leibniz Institut für Sozialwissenschaften Department Cologne/Mannheim Research Field Sociology » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 2 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number SDC-36 Is the Job related to staff position within a Research Infrastructure? No
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 January 1, 2027, our Department Survey Data Curation, Team Survey Data Augmentation, located inCologne, is looking for a Doctoral Researcher in spatial data management (Salary group 13 TV-L, working time 75 %, limited to 3 years). The department "Survey Data Curation" processes and prepares social science research data across a diverse range of data types to support sociological and political science research, especially in comparative perspectives across space and time. The curated data include long-running national (e.g., ALLBUS, GLES) and international (e.g., ISSP, CSES) survey programs, which are documented and curated to the highest quality standards, but also research data products derived from or connected to these surveys, such as geo referencing services or trend files. "Electoral Spaces" is a project of our team Survey Data Augmentation that develops a research data infrastructure for making geocoded electoral data more findable, accessible, interoperable, and re-usable.
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Our reference number is: SDC-36