Doctoral Student in Machine Learning and Medical Data Science

The Medical Data Science Group at ETH Zurich, led by Prof. Julia Vogt, is seeking a motivated doctoral student to conduct interdisciplinary research at the intersection of machine learning and healthcare. The successful candidate will design, implement, and evaluate novel AI models while collaborating closely with technical and medical experts. This fixed-term position provides access to state-of-the-art high-performance computing resources and supports professional development through teaching and scientific publishing. Applicants are expected to pursue original doctoral research and contribute actively to the vibrant academic community of the university.

• Conduct independent academic research on novel machine learning and artificial intelligence methods tailored for healthcare applications.
• Design, build, and systematically evaluate machine learning models and experiments to ensure reproducibility and scientific rigor.
• Publish research outcomes in peer-reviewed journals and present findings at international scientific conferences.
• Collaborate with interdisciplinary experts from both technical and medical domains on shared research projects.
• Participate in teaching activities, scientific discussions, seminars, and assist with student project supervision.