PhD Position in Multimodal Learning Analytics and Adaptive Learning, University of Tübingen, Germany

Summary

The University of Tübingen's Hector Research Institute offers a PhD position focused on AI in Education, specifically multimodal learning analytics and adaptive learning environments. The candidate will develop AI models that assess learners' attentional and metacognitive processes using eye tracking, video, and digital trace data, and integrate these models into personalized learning systems. The role involves designing empirical studies, creating multimodal machine‑learning models, and collaborating with interdisciplinary researchers. Applicants must hold a master’s degree, possess programming and machine‑learning skills, and work in English. The position is funded at E13 TV-L 75% for up to three years, with comprehensive supervision, training opportunities, and integration into the LEAD Graduate School network.

Key Facts

Employer	University of Tübingen
Department	Faculty of Economics and Social Sciences, Hector Research Institute of Education Sciences and Psychology
Position Type	PhD Position
Research Area	Multimodal Learning Analytics and Adaptive Learning Environments
Degree Required	Master’s degree (or equivalent)
Salary	E13 TV-L, 75%
Funding	Salary according to E13 TV-L, 75%
Contract Duration	Limited to three years
Language	English
Deadline	2026-11-25
Employer Contact	babette.buehlerspam [email protected]
Employer Address	Geschwister-Scholl-Platz, 72074, Baden-Württemberg

About the Project

The project aims to create AI systems that model, assess, and support learners' attentional, cognitive, and metacognitive processes in real time using multimodal behavioral data such as eye tracking, video, and log data. By developing machine‑learning models that detect mind wandering, self‑regulation, and other learning phenomena, the research will enable adaptive learning environments that provide personalized support based on learners' real‑time needs.

Key Responsibilities

• Design and conduct empirical studies on attention and learning
• Develop multimodal machine‑learning models for real‑time learner state detection
• Investigate mechanisms underlying attention, mind wandering, and self‑regulation
• Contribute to AI‑supported educational technology development
• Collaborate with interdisciplinary researchers and graduate school network

Required Skills

• Programming in Python or ability to acquire advanced programming skills quickly
• Experience with machine learning, statistical methods, and AI techniques
• Interest and experience with multimodal data (eye tracking, video, audio, log data)
• Proficiency in English for international research collaboration
• Ability to work independently and commit to interdisciplinary teamwork

Who Should Apply

Applicants with a master’s degree (or equivalent) in computer science, cognitive science, psychology, learning sciences, educational research, data science, human‑computer interaction, or related fields who have strong programming skills (preferably Python), experience with machine learning or statistical methods, and an interest in multimodal data and human‑centered AI. Candidates must be proficient in English and motivated to work in an interdisciplinary, international research team.

Benefits

• Comprehensive supervision and methodological training for early‑career researchers
• Opportunity to contribute to cutting‑edge AI and learning analytics research
• Support for interdisciplinary and international collaborations, including conference participation
• Guidance in scientific publishing and broader dissemination of research
• Integration into the LEAD Graduate School & Research Network

About the Employer

The Hector Research Institute of Education Sciences and Psychology is an interdisciplinary institute at the University of Tübingen that investigates individual, social, and institutional determinants of learning. It employs a broad range of methods, including large‑scale assessments, longitudinal and laboratory studies, and randomized field experiments, and collaborates closely with schools and educational institutions. The institute is recognized nationally and internationally as a leading center for empirical educational research.

Frequently Asked Questions

What is the application deadline?

25 November 2026.

Which documents must be submitted?

A single PDF containing a motivation letter, CV, and transcripts.

What language proficiency is required?

Proficiency in English as a working language.