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/).

• 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

• 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

• 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

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 ().

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

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