PhD Candidate in Clinical AI, Data Privacy and Large Language Models

Details zur Stelle

Limited until 31.08.2030

Biel

Start 01.08.2026

To start with, here are some of our strong points

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.

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.

What you'll bring with you

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.

I’ll be your guide through the application procedure

Benedikt Oderbolz
HR consultant
P +41 31 848 31 48

Contact

For job-specific queries

Prof. Dr. Murat Sariyar
Lecturer
P +41 32 321 64 37

Contact