PhD and Postdoctoral Positions in Trustworthy AI for Medical Image Analysis University of Tübingen in Germany

Hertie Institute for AI in Brain Health at the Faculty of Medicine, University of Tübingen, is recruiting for an interdisciplinary research group led by Katharina Höbel. The group works on transparent and trustworthy AI for medical image analysis, with a strong application focus on early diagnosis and prevention of nervous system diseases.

Open positions: a Postdoctoral Researcher (100% for 5 years) and a PhD Candidate (75% for 4 years). The PhD role is advertised as PhD in Trustworthy AI for Medical Image Analysis and involves deep learning model development for automated glioma diagnostics, improving interpretability of foundation models, quantifying biological characteristics of tumors, and validating results against clinical benchmarks.

Research keywords: trustworthy AI, machine learning, deep learning, medical image analysis, glioma diagnostics, interpretable AI, foundation models, oncology, neuro-pathology, brain health, clinical AI.

Eligibility highlights: for the PhD role, applicants should have a Master’s degree or equivalent in a quantitative field such as Computer Science, Physics, Data Science, Biomedical Engineering, or Neuroscience. Required or preferred skills include Python or R programming, prior ML/DL experience, strong independent thinking, curiosity, functional English, and willingness to work closely with clinicians and engineers in a multidisciplinary environment.

Funding and terms: the PhD position is 75% TV-L E13 for 4 years. The postdoctoral position is 100% for 5 years. This is a paid employment opportunity at the University of Tübingen / University Hospital Tübingen, not a scholarship.

Application window: deadline is 17 June 2026. Apply through the corresponding online job link and submit the requested documents, including CV and cover letter. Questions can be directed to Dr. Katharina Höbel at [email protected].