Karriere
am Klinikum & Medizinischer Fakultät
Research Associates (f/m/d)
Faculty of Medicine, Hertie Institute for AI in Brain Health (Hertie AI), Future Skills, Creative AI Education & AI Learning Infrastructures, index number 7128
Full-time: 100 %
Limited:
36 months 1
Start of work: 01.03.2026
Application deadline: 06.02.2026
TV-L
E13 2
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
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
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
- Collective agreement & regular wage increases
- Company pension scheme (VBL)
- Annual special payments (TV UK, TV L)
- Attractive public transport subsidy & employee discounts
- Cultural & generational diversity
- Support through language courses
- Integration programmes (nursing)
- Cutting-edge research at the highest level
- Support from PhD to professorship
- Good public transport connections
- Parking space sharing & ride-sharing service
- Discounts in the canteen & cafeteria
- Job bike & other corporate benefits
The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which detect diseases of the nervous system earlier and treat them better.
Index number: 7128
Please apply through the application portal including CV and a cover letter.
Please also indicate your salary expectations and possible starting date in the following questionnaire.
Application deadline: 06.02.2026
1 Continued employment will be sought whereever possible.
2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales.
Further information can be found here: https://www.medizin.uni-tuebingen.de/de/karriere/gehalt
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