Student Research Assistant, Team Survey Data Augmentation (SHK-SDC-23)

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 Cologne

Data collection and management

Analysis and visualization of research data

Literature research

Assisting 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 methods

Experience with the R programming language and the Zotero bibliography management tool is a plus

Interest in research on democracy or social science methods

Good command of English; German is a plus

Our Benefits:

Participation in research and service activities related to academic studies

Experience in data management and analysis relevant to a wide range of career fields

Flexible working hours and regulations for mobile working

Very good conditions for reconciling work and family life

Holistic company health management and discounted participation in the university's sports programme

Promotion of your skills through further training measures

Contact

For 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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