The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen is seeking a highly motivated PhD candidate in Psychology, Empirical Educational Research, Cognitive Science, or related disciplines who is eager to conduct in-depth and systematic analyses of the affordances and constraints of AI-generated classroom videos for research on teaching quality.
Table of Content
Summary
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Benefits
We provide an inspiring, productive, and collaborative research environment with excellent opportunities for professional and academic development. Specifically, we offer:
- Comprehensive supervision and a wide range of training opportunities, including methodological training as part of early-career researcher support.
- Support for interdisciplinary and international collaborations, such as lab visits and participation in international conferences.
- Guidance in scientific publishing and the opportunity to share your research with a broader audience.
- Integration into the LEAD Graduate School & Research Network
- Involvement in a dynamic and motivated research team passionate about education, digitalization, and technology.
Requirements
We are looking for a candidate with a strong academic background and a keen interest in empirical research. Specifically, we expect:
- An excellent academic degree (Master’s or equivalent) in Psychology, Empirical Educational Research, Cognitive Science, or a related field.
- Openness to empirical research methods and curiosity about statistical approaches.
- Proficiency in English as a working language in an international research team.
- Experience with statistical analysis software, such as R, SPSS, or Mplus.
- A willingness to engage in interdisciplinary collaboration and teamwork.
- The ability to work independently and a high level of personal commitment.
- A commitment to continuous professional development in line with the project’s requirements.
In addition, the following qualifications would be considered an asset:
- Interest in open-weight models and a general curiosity about AI.
- Interest in leveraging AI meaningfully within educational contexts.
- Experience with tools such as ComfyUI or similar frameworks.
- Basic experience in video production, particularly editing and simple post-production.
- A basic understanding of Python (proficiency is not required, but conceptual familiarity is beneficial).
Application Documents
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
April 15, 2026How To Apply
- Submit your complete and compelling application (including a CV and transcripts) as a single PDF document, referencing “PhD AI Classroom Videos and Teaching Quality”, via email to [email protected].
For more information, kindly visit the University of Tübingen webpage.
