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.
PhD Candidate in Clinical AI, Data Privacy and Large 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.
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.
#J-18808-Ljbffr
PhD Candidate in Clinical AI, Data Privacy and Large 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.
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.
#J-18808-Ljbffr
Kontaktdaten:
Berner Fachhochschule BFH Recruiting-Team
