Karriere
am Klinikum & Medizinischer Fakultät
Postdoc in Fair AI & Oculomics for Global Health (f/m/d)
Faculty of Medicine, Hertie Institute for AI in Brain Health (Hertie AI), Department Data Science, index number 7258
Full-time: 100 %
Limited: 36 months 1
Start of work:
as soon as possible
Application deadline: 08.03.2026
TV-L
i.d.R. E13 2
- Develop and evaluate algorithmic strategies to detect and mitigate bias in foundation models using African fundus datasets
- Design and implement interpretability techniques applicable to foundation models
- Co-develop deep learning pipelines to reconstruct systemic health conditions and histories from fundus images
- Oversee high-quality data collection and data exchange between The Gambia and University of Tübingen
- Co-lead the project's strategic direction, co-supervise a PhD student, and disseminate findings
- Doctoral degree in computer science, medical informatics, physics, mathematics, or a related quantitative field with a focus on machine learning
- Proven track record in developing and implementing deep learning algorithms, specifically for medical image analysis (experience with foundation models or interpretability is a strong plus)
- Advanced programming skills in Python and experience with deep learning frameworks such as PyTorch, including handling large-scale datasets
- Experience (or strong potential) in co-leading international research projects and the ability to coordinate complex data-sharing workflows across borders
- Strong interest in Global Health and the willingness to travel to Gambia for data collection coordination; excellent communication skills in English are essential
Modern Environment
- Innovative university hospital
- State-of-the-art technology
- World-class international research
- Excellent career prospects
Research
- Cutting-edge research at the highest level
- Support from PhD to professorship
Career & Development
- Structured onboarding
- In-house academy
- Diverse training opportunities
- Targeted career development
Internationality
- Cultural & generational diversity
- Support through language courses
- Integration programmes (nursing)
Equal Opportunities & Diversity
- Active promotion of equality
- Internal committees as a point of contact
- Network for conflict resolution
- Innovative university hospital
- State-of-the-art technology
- World-class international research
- Excellent career prospects
- Cutting-edge research at the highest level
- Support from PhD to professorship
- Structured onboarding
- In-house academy
- Diverse training opportunities
- Targeted career development
- Cultural & generational diversity
- Support through language courses
- Integration programmes (nursing)
- Active promotion of equality
- Internal committees as a point of contact
- Network for conflict resolution
The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non-clinical facilities as well as its research and teaching area corresponding to the organisational units of the University Hospital, it is one of the largest medical training and research institutions in Baden-Württemberg.
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 that detect diseases of the nervous system earlier and treat them better. The postdoctoral position is offered within the framework of the DFG-funded project “De-biased and interpretable foundation models to reconstruct health history from fundus images in The Gambia “ between Hertie AI and the MRC Unit in The Gambia.
Mr. Prof. Philipp Berens
Hertieai@medizin.uni-tuebingen.de
Hertieai@medizin.uni-tuebingen.de
Mr. Prof. Philipp Berens
Index number: 7258
Including CV and cover letter
Application deadline: 08.03.2026
Index number: 7258
Including CV and cover letter
Application deadline: 08.03.2026
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We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States),
severely handicapped persons with equal qualifications are given preferential consideration.
Interview expenses are not covered.
Please note the applicable vaccination regulations.
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.
