University of Basel Academia

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

CHF 80'000 – 100'000 / year
BASEL
NATURAL LANGUAGE PROCESSINGNLPLLMAGENTICHUGGING FACELANGCHAIN

Description

The Center for medical Image Analysis and Navigation (CIAN) group at the Department of Biomedical Engineering of the University of Basel is seeking a highly motivated PostDoc candidate to join our interdisciplinary team at the intersection of artificial intelligence, natural language processing (NLP), and medical informatics . Your research will focus on developing agentic AI systems to automate the generation of structured medical reports, with applications in clinical workflows, and research documentation.

Responsibilities

  • 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.

Qualifications

  • 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.

Benefits

  • 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.

Application / Contact

Deadline : May 15th, 2026

Start date : Flexible, earliest possible

Please submit your application including:

  1. Motivation letter (1 page): Why this project? How does your background align with the research goals?
  2. CV (including publications).
  3. Transcripts (Bachelor s and Master s degrees).
  4. Contact details for 2 references (no letters required at this stage).

Contact : Prof. Dr. Philippe C. Cattin ( philippe.cattin@unibas.ch ) | https://dbe.unibas.ch/en/cian

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