Summary:
The Center for Medical Image Analysis and Navigation (CIAN) at the University of Basel is seeking a highly motivated PostDoc candidate to join an interdisciplinary team focused on developing agentic AI systems aimed at automating the generation of structured medical reports.
Postdoctoral Position in Artificial Intelligence for Automated Medical Reporting, University of Basel, Switzerland
Designation:
Postdoctoral Researcher
Table:
| Category | Details |
|---|---|
| Research Area | Artificial Intelligence, Natural Language Processing, Medical Informatics |
| Location | University of Basel, Switzerland |
| Eligibility/Qualification | Ph.D. in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field |
| Job Type | Full-Time (100%) |
| Contract Duration | 2 years (fully funded) |
| Deadline for Application | May 15, 2026 |
Research Area:
This position intersects artificial intelligence, natural language processing, and medical informatics, focusing specifically on automating the generation of structured medical reports for clinical workflows and research documentation.
Eligibility/Qualification:
- Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field (or equivalent experience).
- Strong programming skills in Python.
- Experience in NLP/LLM frameworks (e.g., Hugging Face, LangChain).
- Familiarity with software engineering practices, data pipelines, and handling medical data.
Job Description:
The successful candidate will:
- Develop AI-driven pipelines to automatically generate pre-structured medical reports (e.g., literature summaries, clinical trial documentation) from minimal input data.
- Design and implement “gluing code” for integrating AI solutions into cohesive systems, ensuring robustness and reproducibility.
- Conduct validation tests to ensure performance, accuracy, and clinical relevance of generated outputs.
- Investigate minimal input requirements and trade-offs in the generation of high-quality domain-specific reports.
- Collaborate with clinicians and domain experts to align technical solutions with real-world needs.
- Publish results in top-tier conferences/journals and present at international workshops.
How to Apply:
Candidates should submit their application including the following documents:
- Motivation letter (1 page): Explain why this project interests you and how your background aligns with the research goals.
- CV (including publications).
- Transcripts (Bachelor’s and Master’s degrees).
- Contact details of 2 references (no letters required at this stage).
Email applications to: Prof. Dr. Philippe C. Cattin at philippe.cattin@unibas.ch.
Last Date for Apply:
May 15, 2026
The University of Basel is an equal opportunity employer and encourages applications from underrepresented groups. We look forward to your application!
