Uni-Tübingen

Faculty of Economics and Social Sciences, Institute of Educational Science

Bewerbungsfrist : 05.05.2026

At the Institute of Educational Science at the University of Tübingen , two Postdoc positions of

Research Associate (m/f/d, E 13 TV-L, 100%, 4 years)

are to be filled immediately.

The positions are assigned to the Momentum grant of VolkswagenStiftung which is assigned to the research group Teaching and Learning with Digital Media (Prof. Dr. Andreas Lachner) at the Institute of Educational Science. At the heart of the project is the development of the chair into a transdisciplinary hub for adaptive learning. The goal is to research 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 considered a promising tool in this context. However, a systematic, scientifically 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 AI with insights from educational science and practice. Drawing on big data from real educational contexts, the project aims to generate robust and generalizable findings. In close collaboration with local and international partners, an interface between educational research, subject-specific didactics, and AI development will be established. A central feature of the approach is its co-constructive process: teachers, students, and school administrators are actively involved in shaping the systems to ensure practical, effective, and scalable solutions.

The two positions serve complementary but distinct roles within the project. One position focuses on machine learning, with particular emphasis on the design and implementation of intelligent tutoring systems. The second position centers on data science, primarily involving the analysis of existing datasets from established intelligent tutoring systems as well as data collected during the project.

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 , where Prof. Lachner is Co-Director.

The positions are limited to four years.

What we offer:

• A four-year contract remunerated according to E13 TV-L (if necessary, support with visa application through the Welcome Center of the University of Tübingen )
• Integration into the international and interdisciplinary research environment at Tübingen with its numerous institutions, such as the Institute of Educational Science, TüCeDE, LEAD Graduate School & Research Network, Tübingen School of Education, and external partner institutions
• 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 for the Position with a Focus on Data Science:

• A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in data science, learning analytics, or a related field with a strong focus on educational or learning contexts)
• Strong methodological research expertise, particularly in:
• Computational modeling
• The analysis and evaluation of complex, large scale, and structured datasets
• Experience applying data driven approaches to educational data, ideally in learning analytics or digital education settings
• Ability to design, implement, and critically evaluate data science methodologies for research purposes

What you bring for the Position with a Focus on Machine Learning:

• A master’s-equivalent university degree with above-average grades and a relevant doctorate/PhD (e.g. in machine learning, artificial intelligence, computer science, or a related discipline with an educational focus)
• Strong methodological research expertise in:
• Applying machine learning techniques to educational problems
• Designing, developing, and evaluating intelligent tutoring systems
• Experience with model development, validation, and performance evaluation in applied or research-oriented settings
• Ability to translate machine learning methods into practical, scalable educational applications

What we expect from you on both Positions:

• (International) publications of research studies and active participation in professional conferences
• Promotion and support of early-career researchers at the research group
• Engagement within the chair and department
• Knowledge of digital educational technologies in teaching and learning contexts or in teacher competence development, additional expertise in digital literacy and media education is desirable
• Excellent analytical skills and the ability to work independently
• Strong organizational and communication skills
• Confident oral and written English
• 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 pro

In your application, please refer to myScience.de and reference JobID 213989 .