Doctoral Researcher in spatial data management (SDC-36)

GESIS – Leibniz-Institut für Sozialwissenschaften; Köln; Vor Ort; EUR 36.000 - 48.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

Childcare subsidies

Pension provision

Company health management

Sports programme discounts

Further training measures

Zusammenfassung

GESIS – Leibniz-Institut für Sozialwissenschaften is seeking a Doctoral Researcher in spatial data management in Cologne. The role focuses on setting up data storage, R interfaces, and data pipelines for the Electoral Spaces project within the Survey Data Curation department.

The position is 75% time and limited to 3 years as a TV-L salary group 13. Applicants should hold a Master’s in geography or related fields, have strong R skills, GIS experience, and a keen interest in applying spatial data

Qualifikationen

• Master’s degree required in geography, geoinformatics, or a related discipline.
• Strong programming skills in R and geospatial data processing.
• Excellent English language skills.

Aufgaben

• Set up the data storage technology and program the R interface for the project.
• Test and assess the tech stack to meet researchers' needs for spatial data.
• Support data modeling, data ingestion pipelines, and curation workflows.
• Contribute to technical documentation, project outreach and dissemination.
• Conduct methodological or applied research showcasing the infrastructure's value.

Kenntnisse

R programming

GIS applications

English proficiency

Ausbildung

Master’s degree in geography or related field

Tools

Geospatial data tools

Jobbeschreibung

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 inCologne, is looking for a Doctoral Researcher in spatial data management (Salary group 13 TV-L, working time 75 %, 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:

• Setting up the data storage technology and programming the R interface and auxiliary tools for “Electoral Spaces”
• Testing and assessing the tech stack to ensure it meets researchers' needs for spatial electoral data
• Supporting data modeling, data ingestion pipelines, and curation workflows
• Contributing to technical documentation, project outreach, and dissemination
• Conducting methodological or applied research showcasing the added value of the infrastructure

Your profile:

• Master’s degree in geography, geoinformatics, spatial data science, or a related discipline
• Technical literacy in geospatial software stacks and strong programming skills in R
• Strong interest in the application of GIS and spatial data to political and social science research
• Motivation to complete a PhD thesis closely aligned with the project
• 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

Contact

For further information concerning the tasksplease contact Stefan Jünger via E-Mail [e-mail]. If you have questions about the application process, please contact Christine Laßmann via E-Mail [e-mail].