The University of Tübingen is offering a postdoctoral position in Fair AI and Oculomics for Global Health at the Hertie Institute for AI in Brain Health. This exciting opportunity is part of a DFG-funded project focused on developing de-biased and interpretable foundation models to reconstruct health history from fundus images, with a special emphasis on datasets from The Gambia. The project is a collaboration between the Hertie AI, the MRC Unit in The Gambia, and international partners, aiming to improve fairness and interpretability of AI in linking ocular images to systemic health variables.

The successful candidate will join the Department of Data Science and work on developing and evaluating algorithmic strategies to detect and mitigate bias in foundation models using African fundus datasets. Responsibilities include designing and implementing interpretability techniques, co-developing deep learning pipelines for reconstructing systemic health conditions from fundus images, overseeing high-quality data collection and exchange between The Gambia and the University of Tübingen, and co-leading the project's strategic direction. The postdoc will also co-supervise a PhD student and disseminate research findings.

Applicants should have a doctoral degree in computer science, medical informatics, physics, mathematics, or a related quantitative field with a focus on machine learning. A strong track record in developing and implementing deep learning algorithms for medical image analysis is required, with experience in foundation models or interpretability considered a strong plus. Advanced programming skills in Python and experience with deep learning frameworks such as PyTorch are essential. The role requires experience or strong potential in co-leading international research projects, coordinating complex data-sharing workflows, and excellent communication skills in English. A strong interest in Global Health and willingness to travel to The Gambia for data collection coordination are also important.

The position is full-time (100%) for 36 months, with remuneration according to TV-L E13. The University of Tübingen offers a modern research environment, state-of-the-art technology, and excellent career prospects, with structured onboarding, diverse training opportunities, and active promotion of equality and diversity. Severely handicapped persons with equal qualifications are given preferential consideration. Interview expenses are not covered. For more information on salary, visit the university's career page.

To apply, submit your CV and cover letter online via the University of Tübingen job portal, referencing index number 7258. For questions, contact Prof. Philipp Berens at [email protected]. The application deadline is March 8, 2026.