GESIS – Leibniz-Institut für Sozialwissenschaften

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

Köln, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the 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 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

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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Mid
Technology & IT Student Research Assistant Survey Data Mid level

Likely questions

  1. Tell us about work you have done that is close to the Student Research Assistant, Team Survey Data Augmentation (SHK-SDC-23) role.
  2. How would you approach your first 30 days at GESIS – Leibniz-Institut für Sozialwissenschaften?
  3. Which of Student, Research and Assistant have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Student, Research and Assistant.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Student Research Assistant, Team Survey Data Augmentation (SHK-SDC-23) role because I can bring practical experience in Student, Research and Assistant, learn the team quickly, and contribute to the outcomes GESIS – Leibniz-Institut für Sozialwissenschaften needs from this hire.

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