Doctoral Student in Machine Learning and Medical Data Science 100%

ETH Zurich; Zürich; Presencial; CHF 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

International research environment

HP computing resources

Doctoral stipend

Descripción de la vacante

ETH Zurich invites applications for a Doctoral Student in the Medical Data Science Group to advance machine learning methods for healthcare. You will design and evaluate ML models, publish findings, and contribute to teaching and supervision of projects.

The position offers access to top-tier computing infrastructure, international collaboration, and a chance to shape a doctoral thesis at the intersection of ML and medicine.

Formación

• Master’s degree in computer science, machine learning, statistics, applied mathematics, or a closely related technical field.
• Strong foundations in mathematics, statistics, and machine learning, with solid programming skills (Python).
• Strong interest in foundational ML research and applications in medicine/healthcare.
• Excellent problem-solving, analytical, and communication skills in English.

Responsabilidades

• Conduct independent research on novel ML/AI methods for medical applications.
• Design, implement, and rigorously evaluate ML models and experiments.
• Publish and present findings at conferences and in journals; develop your doctoral thesis.
• Collaborate with experts from technical and medical disciplines and participate in seminars.

Conocimientos

Python programming

Mathematics & statistics

Machine learning

Educación

Master’s degree in CS/ML/Statistics/Applied Math

Herramientas

Python

Descripción del empleo

Are you passionate about machine learning and AI and excited to develop methods that can make a difference in healthcare? The Medical Data Science Group at ETH Zurich, led by Prof. Julia Vogt, is looking for a highly motivated Doctoral Student to join our interdisciplinary research team. The Medical Data Science Group develops innovative machine learning and AI methods to address challenging problems in medicine and healthcare. Our research combines foundational advances in machine learning with meaningful medical applications. Potential research directions include representation learning, pre- and post-training of foundation models, generative AI, explainability and interpretability, probabilistic modeling, time-series analysis, and multimodal learning. The Doctoral position offers the opportunity to pursue original research at the intersection of machine learning and healthcare, working closely with researchers from technical and medical disciplines. Specific research topics will be developed jointly with Prof. Julia Vogt, taking into account the candidates’ interests and expertise as well as the group’s research priorities.

Job description

• 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

• A Master’s degree in computer science, machine learning, statistics, applied mathematics, or a closely related technical field
• Strong foundations in mathematics, statistics, and machine learning, combined with solid programming skills (e.g., Python)
• A strong interest in both foundational machine learning research and applications in medicine and healthcare
• Curiosity, creativity, and the ability to approach challenging research questions independently and systematically
• Strong analytical and problem-solving skills, with a commitment to rigorous and responsible scientific research
• Strong communication skills in English and enthusiasm for interdisciplinary, collaborative research
• Openness to new ideas, constructive feedback, and scientific exchange
• Experience with medical or biological data is an advantage, but not a requirement

We offer

• 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

We value diversity and sustainability

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.

Curious? So are we.

Questions regarding the position should be directed to Dr. Silke Mühlstedt, [e-mail] (no applications).

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