PhD in Clinical AI, Data Privacy and Language Models

What you’ll be doing here

• You contribute to the national NAIPO flagship on AI for precision oncology and to SP2 on biomedical large language models for clinical text.
• You develop and evaluate methods for de-identification, anonymization and privacy-preserving use of sensitive clinical data.
• You work on LLM-based applications for information extraction, summarization, retrieval-augmented generation and clinical decision support.
• You support BFH’s contribution to SP6, the patient engagement mobile app, by integrating SP2-based LLM components for patient-friendly medical explanations.
• You publish scientific results, contribute to project reports and work toward a PhD in close collaboration with national research, clinical and industry partners.

• A master’s degree in computer science, data science, medical informatics, computational linguistics, biomedical engineering or a related field.
• Strong programming skills, ideally in Python, and experience with machine learning, NLP, LLMs or data engineering.
• Interest in responsible AI, data protection, health data, oncology and patient‑centered digital health.
• A careful, independent and collaborative working style in interdisciplinary research environments.
• Very good English skills;
  German is an advantage, French or Italian are welcome.

• Plenty of contact with eager young people from all over the world who are set on achieving things.
• Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation.
• A motley crew of friendly folk from all walks of life awaits you, all with different biographies, views and experiences.
• A great range of possibilities for personal and professional development.