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PhD Candidate in Clinical AI, Data Privacy and Large Language Models
'I'm a true BFH fan', says Anna Knutti . 'The whole package is just great. What I really like is how my remit keeps
changing. This helps me move forward, both professionally and personally, even after close on ten years'.
PhD Candidate in Clinical AI, Data Privacy and Large Language Models
60%Limited until 31.08.2030BielStart 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.
And here are even more good reasons to opt for BFH
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.
Apply now
School of Engineering and Computer Science
In the School of Engineering and Computer Science we don't move with the times, mostly we are a bit ahead of them! We
find it fascinating what benefits technology can have in people's everyday lives. We gain knowledge through research
and joint projects with industry and business. This exchange brings about cutting-edge insights that we continually
share with students.
Doing something meaningful in a fascinating environment and with an outlook to the future: a job at Bern University of
Applied Sciences makes perfect sense.
Place of work
I’ll be your guide through the application procedure
Benedikt Oderbolz
HR consultant
P +41 31 848 31 48 LinkedInContact✖ Contact
Benedikt Oderbolz
HR consultant
P +41 31 848 31 48 Subject *Your Name *Your E-Mail *Message * Danke
For job-specific queries
Prof. Dr. Murat Sariyar
Lecturer
P +41 32 321 64 37 Contact✖ Contact
Prof. Dr. Murat Sariyar
Lecturer
P +41 32 321 64 37
Subject *Your Name *Your E-Mail *Message * Danke
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