• Conduct independent research on novel machine learning and AI methods, with a focus on medical and healthcare applications
• Design, implement, and systematically evaluate machine learning models and experiments, ensuring rigorous and reproducible research
• Publish and present your findings at scientific conferences and in peer-reviewed journals, and develop your doctoral thesis
• Collaborate with experts from technical and medical disciplines and contribute to scientific discussions, seminars, and group activities
• Support teaching activities and the supervision of student projects

Profile

• An international and collaborative research environment at the intersection of machine learning, AI, and medicine
• The opportunity to shape your own research and work closely with experts from technical and medical disciplines
• Access to state-of-the-art infrastructure and high-performance computing resources at ETH Zurich
• Support for your scientific development through conference participation, training, and networking opportunities
• Opportunities to gain teaching, supervision, and mentoring experience
• Competitive ETH Zurich doctoral salary and employment conditions
• A meaningful career: ETH Zurich supports your professional development and actively contributes to positive change in society.
• Commitment to a sustainable and climate-neutral university
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

We look forward to receiving your online application with the following documents:

• Cover letter describing your motivation, research interests, and experience
• Curriculum Vitae (CV)
• Academic transcripts and degree certificates (Bachelor’s and Master’s)
• Contact details of three academic or professional references (name, email address, affiliation)
• A publication, thesis, or summary sampling your academic reasoning and writing

Further information about our research and team can be found on our Website. Questions regarding the position should be directed to Dr. Silke Mühlstedt, silke.muehlstedt@inf.ethz.ch (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

The preferred application deadline is 22 November 2026.

Applications will be reviewed on a rolling basis, and applications received after this date will also be considered.

The preferred starting date is 1 January 2027, or a later date by mutual agreement.

ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.