Summary
Join the Hertie Institute for AI in Brain Health at the Faculty of Medicine, Tübingen, as a Postdoctoral Researcher specializing in interpretable computational pathology. This role combines cutting-edge research in AI with clinical applications in histopathology.
Postdoc in Interpretable Computational Pathology (F/M/D), Hertie Institute for AI, Germany
Designation
Postdoc in Interpretable Computational Pathology (F/M/D)
| Details | Information |
|---|---|
| Index Number | 7602 |
| Full-time | 100% |
| Duration | Limited: 5 years |
| Start Date | 01.07.2026 |
| Application Deadline | 17.06.2026 |
| Salary | TV-L i.d.R. E13 |
Research Area
- Interpretable AI in histopathology
- Clinical data analysis
- Digital pathology
Location
Tübingen, Germany at the Hertie Institute for AI in Brain Health, Faculty of Medicine, Eberhard Karls University Tübingen.
Eligibility/Qualification
- A PhD in a computational field (Computer Science, Data Science, Biomedical Informatics, or related)
- Strong programming skills (Python or R)
- Proven ability to process and analyze large-scale datasets using machine learning
- Track record of scientific publications
- Excellent written and spoken English skills
- Experience with digital pathology or clinical imaging modalities is preferred
- Self-starter with organizational skills for lab workflow enhancement
Job Description
- Methodological Lead: Oversee the development and implementation of deep learning models for histopathology and clinical data.
- Interdisciplinary Collaboration: Serve as the technical liaison between engineering and medical teams to ensure AI tools are clinician-ready.
- Scientific Dissemination: Prepare articles for peer-reviewed journals and present research at conferences.
- Lab Mentorship: Support the growth of the lab by supervising students and refining research grant applications.
How to Apply
Interested candidates should send their CV and cover letter to Dr. Katharina Höbel at hertieai@medizin.uni-tuebingen.de, citing Index Number 7602.
Last Date for Apply
17th June 2026
This position offers an exciting opportunity to contribute to cutting-edge research in AI and its application to brain health while working in a dynamic and supportive environment.
