GESIS – Leibniz-Institut für Sozialwissenschaften

Postdoctoral Researcher in geocoded electoral data (SDC-34)

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 on January 1, 2027, our Department Survey Data Curation, Team Survey Data Augmentation, located in Cologne, is looking for a
 
Postdoctoral Researcher in geocoded electoral data
(Salary group 13 TV-L, working time 100 %, 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.

Your tasks will be:Leading the development of data curation, validation, and spatial aggregation tools for geocoded electoral data using the statistical software R
Establishing a framework clarifying legal, ethical, and licensing conditions for data provision and reuse
Supporting the principal investigators in coordinating the overall project and managing workflows and project knowledge
Creating user documentation, training materials, and public interfaces for the infrastructure
Conducting methodological or applied research showcasing the added value of the infrastructure

Your profile:Completed academic university degree (Master’s or equivalent) and completed PhD in political science, quantitative social science, spatial data science, or a related discipline
Advanced expertise in longitudinal and spatial data integration, provenance documentation, and reproducible workflows
Proficiency in coding and managing spatial datasets in R, with experience in version control and data curation standards
Track record of contributing to empirical research and generating scientific innovation with data infrastructure
Excellent English language skills

Our Benefits:Opportunity to contribute to a research data infrastructure with substantial impact on the future of democracy research
Work in an integrated yet flexible team of quantitative social scientists with substantial synergies between survey augmentation projects specializing in geospatial data applications and democracy
Flexible working hours and regulations for mobile working
Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
Holistic company health management and discounted participation in the university's sports programme 
Generous support for your pension provision as a direct insurance policy
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 by submitting a motivation letter, a CV, and a writing sample via our online-application portal until October 2, 2026.
Our reference number is: SDC-34
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Mid
Technology & IT API integration Writing Postdoctoral Researcher Geocoded Mid level

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  1. Tell us about work you have done that is close to the Postdoctoral Researcher in geocoded electoral data (SDC-34) role.
  2. How would you approach your first 30 days at GESIS – Leibniz-Institut für Sozialwissenschaften?
  3. Which of API integration, Writing and Postdoctoral have you used recently, and what did it help you achieve?
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  5. How do you handle busy days, changing priorities, or pressure at work?

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  • A recent example that proves your experience with API integration, Writing and Postdoctoral.
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  • Two examples that show the strengths listed on your CV.
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  • Your availability, preferred work style, and salary expectations.

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Practice line

I am interested in the Postdoctoral Researcher in geocoded electoral data (SDC-34) role because I can bring practical experience in API integration, Writing and Postdoctoral, learn the team quickly, and contribute to the outcomes GESIS – Leibniz-Institut für Sozialwissenschaften needs from this hire.

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