The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen is seeking a bright and motivated postdoctoral research fellow with strong experience and skills in analyzing large-scale longitudinal datasets in empirical education research, such as intensive longitudinal data, log-trace data from learning platforms, and panel data.
Table of Content
Summary
Requirements
The successful candidate should:
- Hold a PhD in Empirical Education Research, Psychology, Research Methodology, or a related field (or will have obtained one by the start date of the position) and demonstrate a strong track record, for example through publications and third-party funding experience.
- Expertise in machine learning is an advantage.
- A clear commitment to research transparency is also desirable.
The most important selection criteria are
- a solid methodological skill set that enables independent research
- substantive expertise in one or more areas of education and or psychology. Proficiency in German is beneficial but not required for this position.
Application Documents
Applications should include:
- a cover letter outlining your expertise in longitudinal data analysis and your substantive knowledge in empirical education research and/or psychology
- a CV
- contact details of two referees
- copies of degree certificates and transcripts
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
May 6, 2026How To Apply
- Please submit all documents as a single PDF file to [email protected] , referencing “PD Data Analysis”, and indicate how you learned about the position (for internal purposes only).
For more information, kindly visit the University of Tübingen webpage.
