Uni-Tübingen

Faculty of Economics and Social Sciences, Institute of Education

Bewerbungsfrist : 08.05.2026

At the Institute of Education at the University of Tübingen , a position as

Research Associate in the area of learning sciences
(m/f/d, E13 TV-L, 75%, 4 years)

is to be filled as soon as possible.

The position is embedded in a Momentum grant of the VolkswagenStiftung and is situated in the research group Teaching and Learning with Educational Technology (Prof. Dr. Andreas Lachner) at the Institute of Education. At the heart of the project is the transformation of the research group into a transdisciplinary research hub for AI-based adaptive teaching. The goal is to research and design evidence-based adaptive learning systems and translate them into school practice -- systems that provide individualized support and offer all students fair educational opportunities regardless of their background. Artificial intelligence, particularly in the form of large language models (LLMs), is widely regarded as a promising tool in this context. However, a systematic, empirically grounded integration of these technologies into everyday school life is still lacking -- and this is precisely where the project intervenes. The project enables a targeted combination of expertise from machine learning, data science, and education with insights from educational practice. Drawing on large-scale data from authentic educational contexts, the project aims to generate robust and generalizable findings. In close collaboration with local and international partners, we establish an interface between educational research, subject-specific didactics, and AI development. A central feature of the approach is its co-design process: teachers, students, and school administrators are actively involved in shaping the systems to ensure practical, effective, and scalable solutions.

The activities of the research group are closely connected to the Tübingen Center for Digital Education (TüCeDE), an interfaculty, interdisciplinary center at the University of Tübingen .

The positions are limited to four years.

What we offer:

• A three-year contract remunerated according to 75% E13 TV-L (if necessary, support with visa application through the Welcome Center of the University of Tübingen )
• Collaboration in an international and interdisciplinary research environment at the University of Tübingen , with close connections to the LEAD Graduate School & Research Network, the Tübingen School of Education, the Tübingen AI Center, and external partners such as the ELLIS Institute Tübingen and the Leibniz-Institut für Wissensmedien.
• Opportunities for further education and training
• Inclusion in a dynamic team of motivated researchers passionate about teaching and learning with digital media

What you bring:

• Excellent university degree equivalent to a Master’s degree in educational research or a related field (e.g. quantitative educational science, educational psychology, empirical educational research, teacher education)
• Interest in at least one of the following areas and willingness to specialize e.g., AI-supported teaching and learning, AI-based personalized learning opportunities (aptitude treatment interaction), ethical and responsible use of AI in education
• Affinity for digitalization- related topics in school contexts
• Experience and interest in quantitative research methods applied in experimental, longitudinal, and mixed-methods study designs, their data analysis, as well as meta-analysis.

What we expect from you:

• Pursuit of a doctoral degree is desired and will be actively supported
• (International) publications of research studies and active participation in professional conferences
• Engagement within the chair and department
• Excellent analytical skills and the ability to work independently
• Strong organizational and communication skills
• Confident oral and written English
• Teaching in the context of educational technology (3 SWS)
• Willingness to familiarize oneself with new areas of work and to participate in regular professional training

Severely disabled applicants will be given preferential consideration if equally qualified.

The University of Tübingen aims to increase the proportion of women in research and teaching and therefore encourages suitably qualified female scientists to apply.

Please submit your application with the usual documents by May 8, 2026 , in electronic form (please only one PDF document) to info spam prevention @tuecede.uni- tuebingen.de . If you have any questions, please contact Dr. Iris Backfisch iris.backfisch spam prevention @uni-tuebingen.de or Prof. Andreas Lachner andreas.lachner spam prevention @uni-tuebingen.de .