About the opportunity
The dynamically growing research group for Digital Education with a focus on Artificial Intelligence (AI) is located at the Department of Didactics of Mathematics and Natural Sciences at the University of Cologne. The research focus of the group is the support of teaching and learning processes through (generative) AI-based technology. In particular, insights into effectiveness and transfer into school practice are to be gained. An inspiring working environment awaits you, characterized by excellent supervision and individual support in an innovative and future-oriented research field.
Salary and benefits
- Opportunity to pursue a doctorate
- Personal supervision by experienced scientists
- Qualifications to acquire new scientific methods and advance research projects
- Participation in national and international conferences
- A diverse and equal-opportunity working environment
- Support in balancing work and family life
- Flexible working hour models
- Comprehensive continuing education offerings
- Occupational health management offers
- Possibility of mobile working
- Remuneration according to Entgeltgruppe 13 TV-L (if tariff and personal requirements are met)
Who can apply?
- Completed degree (Master/Diploma) in a specialized or teaching degree program in biology, chemistry, physics, computer science, or mathematics with at least a "Good" grade
- Command of the German language in spoken and written form as well as very good English skills
- Interest in didactic questions and (generative) AI
- High level of commitment, independent work, teamwork, communicative, and organizational skills
- Desire for independent scientific qualification and active publication activity
Required documents
- Cover letter outlining motivation for application
- Curriculum vitae
- Certificates and proofs of requested qualifications (without application photo)
When to apply
- Application deadline: September 30, 2026
- Position start date: January 15, 2027
How to apply
- Prepare your application documents including cover letter, CV, and certificates without an application photo.
- Submit your application online through the official University of Cologne job portal at https://jobportal.uni-koeln.de referencing code Wiss2608-17.
Additional information
- Reference number: Wiss2608-17
- Employment is part-time (29.87 hours per week)
- Position is initially limited for 3 years with the option of extension
- Teaching activities amount to 3 SWS
- The University of Cologne promotes equal opportunities and diversity; applications from women are preferentially considered in accordance with LGG NRW.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- Master’s or Diploma graduates in biology, chemistry, physics, computer science, or mathematics.
- Individuals with a strong interest in the intersection of generative AI and educational didactics.
- Candidates seeking a supportive environment with opportunities for international conference participation and doctoral training.
What should you think carefully about?
- Fluency in German is required alongside very good English skills.
- The position is part-time (29.87 hours per week), which may impact total take-home pay.
- The role includes a teaching commitment of 3 SWS, requiring a balance between research and pedagogical duties.
How could this fit your current goals and plans?
This role is ideal for a candidate aiming to complete a doctorate while gaining specialized expertise in AI-driven educational technology. It offers a clear pathway for those interested in bridging the gap between theoretical research and practical school-based implementation, providing a strong foundation for a career in digital education research.
Our take
A strong match for graduates with a passion for AI in education who are comfortable working in a German-speaking academic environment; less suitable for those who prefer a purely research-focused role without teaching responsibilities.
Ready to apply?
Review the opportunity on the official website before applying.
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