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PhD in Machine Learning and Medical Data Science at ETH Zurich ETH Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Competitive ETH Zurich doctoral salary and employment conditions are offered. The post is a fixed-term 100% doctoral position with access to infrastructure, high-performance computing, conference participation, training, and networking support.
Deadline
Nov 22, 2026
Country
Switzerland
University
ETH Zurich
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About this position
Doctoral Student in Machine Learning and Medical Data Science at ETH Zurich in Zurich, Switzerland.
The Medical Data Science Group, led by Prof. Julia Vogt, is recruiting a highly motivated PhD student to work at the intersection of machine learning, AI, and medical data science. 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, with a strong focus on healthcare applications.
The role involves independent research, model design and evaluation, publishing in conferences and journals, and contributing to teaching and student supervision. The environment is interdisciplinary, with collaboration across technical and medical disciplines, access to high-performance computing, and support for conference participation and training.
Applicants should hold 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, plus programming skills such as Python, are expected. Good English communication skills and a strong interest in both foundational ML research and medical applications are important; experience with medical or biological data is helpful but not required.
The preferred application deadline is 22 November 2026, and applications are reviewed on a rolling basis. The preferred start date is 1 January 2027 or later by mutual agreement. Apply only through the online portal and include a cover letter, CV, transcripts and degree certificates, three references, and a publication/thesis/writing sample.
Funding details
Competitive ETH Zurich doctoral salary and employment conditions are offered. The post is a fixed-term 100% doctoral position with access to infrastructure, high-performance computing, conference participation, training, and networking support.
What's required
A Master's degree in computer science, machine learning, statistics, applied mathematics, or a closely related technical field is required. Applicants should have strong foundations in mathematics, statistics, and machine learning, solid programming skills such as Python, strong analytical and problem-solving skills, excellent communication skills in English, and a strong interest in foundational machine learning research and medical/healthcare applications. Experience with medical or biological data is an advantage but not required. Candidates should be curious, creative, independent, systematic, open to feedback, and comfortable with interdisciplinary collaboration.
How to apply
Apply online through the ETH Zurich application portal only. Submit a cover letter, CV, academic transcripts and degree certificates, contact details of three references, and a publication/thesis/writing sample. Questions should be directed to Dr. Silke Mühlstedt by email; applications by email or post are not accepted.
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