Doctoral Student in Machine Learning and Medical Data Science
Develop innovative machine learning and AI methods to transform medicine and healthcare at ETH Zurich.
Best for:Best for computer science or machine learning master's graduates with strong Python skills and an interest in healthcare applications.
Overview
The Medical Data Science Group at ETH Zurich, led by Prof. Julia Vogt, invites applications for a fully funded doctoral student position at the intersection of artificial intelligence and healthcare. The successful candidate will conduct independent research on advanced machine learning methods, including foundation models, generative AI, and probabilistic modeling applied to medical challenges. Responsibilities include designing and evaluating predictive models, publishing in peer-reviewed venues, and collaborating with clinical and technical experts. Candidates must hold a Master's degree in computer science, statistics, or a related field, with strong programming and mathematical foundations.
What you'll do
- Conduct independent research on novel machine learning and artificial intelligence methods tailored for healthcare and medical applications.
- Design, implement, and rigorously evaluate machine learning models and experiments to ensure reproducibility.
- Publish research findings in top-tier scientific conferences and peer-reviewed journals while developing a doctoral thesis.
- Collaborate closely with interdisciplinary experts from technical and medical domains during scientific discussions and group activities.
- Support departmental teaching activities and assist in the supervision of student projects.
Requirements
Degree required: Master's degree in computer science, machine learning, statistics, applied mathematics, or a closely related technical field
Degree offered: PhD
Language: English; strong communication skills required
Instruction: English
- Solid foundation in mathematics, statistics, and machine learning
- Proficiency in programming languages such as Python
- Strong analytical and problem-solving skills with a commitment to rigorous research
- Ability to work independently and address complex research questions systematically
- Strong communication skills in English
Funding & terms
How to apply
Deadline: 2026-11-22 · open until filled
Interested applicants must submit their application exclusively through the ETH Zurich online application portal. The submission must include a detailed motivation letter, curriculum vitae, transcripts, reference contact details, and a writing sample such as a master's thesis or publication. Applications received after the preferred deadline will be considered on a rolling basis.
- Cover letter
- Curriculum Vitae
- Bachelor's transcripts
- Master's transcripts
- Degree certificates
- 3 reference contacts
- Publication, thesis, or writing sample
Contact
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