Andreas Lachner

Open positions at the University of Tübingen / Tübingen Center for Digital Education (TüCeDE) in a VolkswagenStiftung Momentum-funded project on AI-based adaptive teaching , educational data science , machine learning in education , and learning sciences . The project is embedded in the research group Teaching and Learning with Educational Technology led by Prof. Dr. Andreas Lachner and aims to transform the group into a trans-disciplinary research hub that designs evidence-based adaptive learning systems and translates them into school practice. The work focuses on individualized support, fair educational opportunities, and the responsible use of AI and large language models in authentic educational contexts. There are 2 postdoc positions (E13 TV-L, 100%, 4 years) and 1 PhD-student position (E13 TV-L, 75%, 4 years). One postdoc track emphasizes machine learning for generative AI-powered adaptive systems; the other emphasizes educational data science , theory-driven analysis of large-scale and longitudinal datasets, and computational modeling. The PhD/doctoral track is in learning sciences with interest in AI-supported teaching and learning, personalized learning opportunities, and quantitative or mixed-methods educational research. Eligibility highlights include strong academic records, relevant degrees, experience with computational modeling or machine learning depending on the role, publications, conference activity, strong English, and the ability to work independently in an international, interdisciplinary environment. The post also notes support with visa application if needed. Application deadline: 8 May 2026. Apply electronically with the usual documents as a single PDF to the provided email address. Questions can be directed to Dr. Iris Backfisch or Prof. Andreas Lachner .

University of Tübingen / Tübingen Center for Digital Education (TüCeDE) is advertising funded research positions in digital education , AI-based adaptive teaching , educational data science , machine learning in education , and learning sciences . The project is supported by a Momentum grant of the VolkswagenStiftung and is embedded in the research group Teaching and Learning with Educational Technology led by Prof. Dr. Andreas Lachner . The post describes a trans-disciplinary research hub focused on designing evidence-based adaptive learning systems and translating them into school practice. The work connects educational research with AI development and subject-specific didactics, with a strong emphasis on co-design with teachers, students, and school administrators. The environment is international, interdisciplinary, and linked 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. Openings: 2 Postdoc positions (E13 TV-L, 100%, 4 years) and 1 PhD-student / research associate position (E13 TV-L, 75%, 4 years). The postdoc roles focus on either machine learning for generative AI-powered adaptive systems or educational data science and theory-driven analysis of longitudinal and large-scale datasets. The PhD-level position focuses on learning sciences, AI-supported teaching and learning, personalized learning opportunities, and quantitative educational research. Eligibility highlights: Postdoc applicants should have a relevant PhD and strong methodological expertise in computational modeling, machine learning, or educational data science. The PhD-student position requires an excellent master’s-equivalent degree in educational research or a related field, with interest in quantitative methods, experimental/longitudinal/mixed-methods designs, and meta-analysis. For all roles, strong English, publications, conference activity, analytical ability, and willingness to engage in training are expected. Funding and conditions: The positions are funded, fixed-term for four years, and remunerated according to E13 TV-L. The post also notes that visa support may be available through the University of Tübingen Welcome Center if needed. Application window: Apply by 2026-05-08 . Submit the usual documents electronically as a single PDF to the email address given in the post. Questions can be directed to Dr. Iris Backfisch or Prof. Andreas Lachner.