Postdoctoral Research Fellow in Computational Modeling of Digital Education Data
Join an interdisciplinary project applying cognitive computational modeling to digital education and learning data.
Best for:Best for postdoctoral researchers with a strong background in cognitive computational modeling and an interest in educational or psychological data.
Overview
The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen, in collaboration with the Max Planck Institute for Biological Cybernetics, invites applications for a Postdoctoral Research Fellow position. The successful candidate will work on an ambitious, interdisciplinary research program leveraging theory-driven cognitive computational modeling to analyze rich educational datasets from learning platforms and digital tools. Working closely with Prof. Kou Murayama, Prof. Michiko Sakaki, and Prof. Peter Dayan, the appointee will enjoy substantial freedom to develop an independent research profile addressing topics such as self-regulated learning, motivation, and curiosity. Applicants are expected to possess strong methodological expertise, a solid publication record, and a commitment to collaborative research.
What you'll do
- Develop and pursue an independent research program applying theory-driven cognitive computational modeling to intensive educational data
- Collaborate closely with project leaders across the Hector Research Institute and the Max Planck Institute for Biological Cybernetics
- Analyze large-scale datasets sourced from learning platforms, mobile applications, and ecological momentary assessments
- Disseminate research findings through peer-reviewed academic publications and presentations at scientific venues
- Contribute to an interdisciplinary academic environment bridging psychology, education science, and computational neuroscience
Requirements
Degree required: PhD in Psychology, Neuroscience, Computer Science, or a related field
Language: English proficiency; German is beneficial but not required
Instruction: English
Publications: Demonstrated track record through peer-reviewed publications or third-party funding experience
- Strong experience and advanced skills in cognitive computational modeling
- Demonstrated research track record through peer-reviewed publications or third-party funding experience
- Strong methodological background and excellent analytical skills
- Willingness to commit and contribute to interdisciplinary research in education
- Must hold a PhD or expect to obtain one by the start date
Funding & terms
How to apply
Deadline: 2026-10-31
Prepare all required application documents combined into a single PDF file. Send the complete file via email to the designated hiring address, ensuring you mention how you learned about the position.
- Cover letter
- CV
- Contact details of three referees
- Copies of degree certificates and transcripts
Contact
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