PhD in Trustworthy AI for Medical Image Analysis
PhD in Trustworthy AI for Medical Image Analysis (f/m/d)
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Faculty of Medicine Tübingen, Hertie Institute for AI in Brain Health, index number 7601
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Part\-time:
75 %
Limited:
4 years 1
Start of work:
01\.07\.2026
Application deadline:
17\.06\.2026
TV\-L
i.d.R. E13 2
Tasks
- Model Development: Train and refine deep learning models for automated glioma diagnostics, with a specific focus on making foundation models less opaque and more interpretable
- Research \& Discovery: Contribute to the development of novel methods to quantify biological characteristics of tumors and validate these findings against clinical benchmarks
- Scientific Communication: Learn to present research at internal and international forums and prepare high\-quality manuscripts for publication in scientific journals
- Academic Growth: Actively participate in the preparation of research grants and engage in collaborative research to transition from a student to an independent scientist
Profile
- Master’s degree (or equivalent) in a quantitative field (e.g., Computer Science, Physics, Data Science, Biomedical Engineering, or Neuroscience)
- Programming skills (Python or R) and prior experience with ML/DL applications
- High degree of independent thinking, curiosity, and an openness to learning how to approach complex scientific questions
- Functional command of English and the willingness to engage with both international and interdisciplinary perspectives (technical engineering, clinical)
- Desire to work closely with clinicians and engineers in a multidisciplinary team
- Interest in oncology or neuro\-pathology (prior medical knowledge is not required, but interest is essential)
- Initial experience or interest in learning the nuances of academic writing and structured scientific thought
Benefits
Modern Environment
- 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
About us
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.
About Hertie AI
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.
Contact for questions
Dr. Katharina Höbel
hertieai@medizin.uni\-tuebingen.de
Online application to
Dr. Katharina Höbel
Index number: 7601
Including CV and cover letter
Application deadline: 17\.06\.2026
Apply now
WhatsApp application
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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. The employer actively promotes equal opportunities and particularly encourages applications from women.
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.
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