2026 Research Associates at the University Hospital Tübingen

With an interdisciplinary consortium, you will design, build, and evaluate AI learning environments that support students and educators in understanding, critically reflecting on and responsibly using AI and related technologies in academic and societal contexts. 

• Reimagining AI and future skills education: Designing an innovative learning format that foster AI literacy, critical thinking, creativity, and responsible AI use - particularly in medical and interdisciplinary contexts
• Creating and curating AI learning experiences: Developing, adapting, and scaling open educational resources and AI-enabled learning environments that go beyond traditional courses
• Building and integrating AI learning infrastructures: Contributing to the development and integration of digital learning platforms, AI-supported learning tools, and learning assistants across university systems
• Driving collaboration and impact: Coordinating closely with partners within the KI-Campus consortium, university teaching units, IT services, and medical education initiatives - and contributing to evaluation and impact assessment of future skills formats

Table of Content

• Summary
• Benefits
• Requirements
• Application Documents
• Application Deadline
• How To Apply

Summary

• Application DeadlineFebruary 6, 2026
• Study LevelPostdoctoral Fellowships
• SponsorUniversity of Tübingen
• City to studyBaden-Württemberg
• School to studyUniversity of Tübingen
• Eligible CountryAll Countries

Benefits

We offer an exciting and supportive research and innovation environment within the KI-Campus 3.0 consortium, enabling work at the intersection of AI, future skills, and higher education. The position is embedded at Hertie AI and involves close collaboration with key stakeholders at the University of Tübingen, including the Faculty of Medicine, central teaching and learning units, university IT services, and medical education initiatives.

Attractive Compensation

• Collective agreement & regular wage increases
• Company pension scheme (VBL)
• Annual special payments (TV UK, TV L)
• Attractive public transport subsidy & employee discounts

Internationality

• Cultural & generational diversity
• Support through language courses
• Integration programmes (nursing)

Research

• Cutting-edge research at the highest level
• Support from PhD to professorship

Mobility & offers

• Good public transport connections
• Parking space sharing & ride-sharing service
• Discounts in the canteen & cafeteria
• Job bike & other corporate benefits

Requirements

We welcome diverse backgrounds and career paths. You should bring a strong interest in future-oriented education and the motivation to actively shape change.

• Very good degree in computer science, AI / machine learning, data science, educational sciences, medicine, psychology, media studies, information systems, or related fields
• Experience or strong interest in digital learning, curriculum development, educational innovation, or learning platforms
• Solid understanding of AI systems, AI literacy, and societal implications of AI
• Interest in open educational resources, open science, and responsible AI
• Ability to work independently while collaborating effectively in interdisciplinary and multi-partner environments

Application Documents

• CV 
• A cover letter

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

How To Apply

• Please apply through the Application portal.

For more information, kidly visit the University Hospital Tübingen webpage.