PostDoc Position in Artificial Intelligence for Automated Medical Reporting (100%)

Your assignments

• Develop AI-driven pipelines to automatically generate pre-structured medical reports (e.g., literature summaries, clinical trial documentation) from minimal input data (e.g., raw measurements, annotations, or unstructured notes).
• Design and implement “gluing code” to integrate AI solutions into cohesive systems, ensuring robustness and reproducibility.
• Write and maintain module tests to validate the performance, accuracy, and safety of the generated outputs, with a focus on clinical relevance.
• Investigate research questions such as:
  • What is the minimal input required to generate high-quality, domain-specific reports (e.g., trade-offs between data sparsity and output fidelity)?
  • How can agentic AI autonomously curate and synthesize literature for dynamic report generation (e.g., real-time evidence summaries)?
  • How to ensure traceability and explainability in AI-generated medical documentation?
• 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.

Your profile

• Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field (or equivalent experience).
• Strong programming skills in Python, with experience in:
  • NLP/LLM frameworks (e.g., Hugging Face, LangChain, opencode,…).
  • Software engineering practices (e.g., version control, testing, modular design).
  • Data pipelines (e.g., handling medical data, APIs, or databases).
• Research mindset: Ability to formulate and tackle open-ended questions in AI for healthcare.
• Excellent written and verbal communication skills in English (German is a plus but not required).
• Team player with enthusiasm for interdisciplinary collaboration.

We offer you

• A fully funded PostDoc position (100%, 2 years) with a competitive salary according to Swiss National Science Foundation (SNSF) guidelines.
• Cutting-edge research in a dynamic, international environment at the Department of Biomedical Engineering (University of Basel), one of Europe’s leading universities.
• Access to high-performance computing resources and collaborations with clinical partners (e.g., University Hospital Basel).
• Mentorship from Prof. Cattin and opportunities to shape the direction of your research.
• Flexible working conditions and a supportive team culture.