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Student Research Assistant, Team Survey Data Augmentation (SHK-SDC-23) @ GESIS – Leibniz-Institut für Sozialwissenschaften

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About this role

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 Survey Data Curation, Team Survey Data Curations, located in Cologne, is looking for one or two Student Research Assistants (15,20 € / 16,09 € hourly rate, up to 19 hrs./ month, temporary)

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. The “Survey Data Augmentation” team specializes in developing methods for linking survey data with other types of data, such as georeferenced data, with a focus on democracy research. We are part of the emerging European data infrastructure “Monitoring Electoral Democracy” (https://medem.eu/).

Your tasks will be:

Supporting the team’s full range of service and research activities in the office in CologneData collection and managementAnalysis and visualization of research dataLiterature researchAssisting with the preparation of events such as methodology courses and research workshops

Your profile:

Enrolled student in the social sciences (political science, sociology, or similar)Strong knowledge of quantitative methodsExperience with the R programming language and the Zotero bibliography management tool is a plusInterest in research on democracy or social science methodsGood command of English; German is a plus

Our Benefits:

Participation in research and service activities related to academic studiesExperience in data management and analysis relevant to a wide range of career fieldsFlexible working hours and regulations for mobile workingVery good conditions for reconciling work and family lifeHolistic company health management and discounted participation in the university's sports programme Promotion of your skills through further training measures

ContactFor further information concerning the tasks please contact Sebastian Ziaja via e-mail (). If you have questions about the application process, please contact Christine Laßmann via e-mail ().

Interested?Please apply until October 5, 2026 via our Online-application portal. Our reference number is: SHK-SDC-23

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