Doctoral Student in Machine Learning and Medical Data Science, ETH Zurich (Vogt Group)

Application ends: November 22, 2026
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Job Description

ETH Zurich’s Medical Data Science Group, led by Prof. Julia Vogt, seeks a PhD student in machine learning for medicine. You will build new AI methods for healthcare data. The preferred deadline is 22 November 2026, and the preferred start is 1 January 2027.

At a glance

  • Position: Doctoral student, 100%, fixed term
  • Where: Medical Data Science Group, Department of Computer Science, ETH Zurich, Switzerland
  • Supervisor: Prof. Julia Vogt
  • Pay: ETH Zurich doctoral salary; no figure is given
  • Start: 1 January 2027, or later by agreement
  • Apply: 22 November 2026 (preferred deadline; later applications are also reviewed)

What the medical machine learning PhD involves

  • Do independent research on new machine learning and AI methods for medicine and healthcare
  • Possible topics: representation learning, training foundation models, generative AI, explainability, probabilistic models, time series and multimodal learning
  • Set your topic together with Prof. Vogt
  • Design and test models with care, and keep your research reproducible
  • Publish at conferences and in journals, and write a doctoral thesis
  • Work with technical and medical experts, and help with teaching and student projects

Why this role matters

Hospitals hold huge amounts of data, but few models are safe and clear enough to use with patients. This group works on methods doctors can trust. You get core machine learning training with real medical problems.

What ETH Zurich is looking for

  • A master’s in computer science, machine learning, statistics, applied maths or a close field
  • Strong maths, statistics and machine learning foundations, and solid programming such as Python
  • Interest in both core machine learning and medical uses
  • An independent, systematic way of working and strong analysis skills
  • Strong English, and openness to feedback

Nice to have

  • Experience with medical or biological data (an advantage; the ad says it is optional)

Pay and location

The ad offers a competitive ETH Zurich doctoral salary and conditions. It does not state a figure. The post is full time and fixed term. The ad gives no contract length.

How to apply

Apply through the official ETH Zurich page. The closing date is 22 November 2026 (preferred deadline; later applications are also reviewed). Use the ETH Zurich online portal only; email and post applications are not accepted. Upload a cover letter, a CV, your bachelor’s and master’s transcripts and degrees, and contact details for three referees. Add a paper, thesis or summary that shows how you reason and write. The ad says recruiters do the first screening by hand, without AI.

See all our PhD positions, or browse more research jobs on ResearchJobs.in.

Hiring institution: ETH Zurich

Official advertisement: jobs.ethz.ch

How to prepare for this application

  • Read recent papers from the Medical Data Science Group and pick one to discuss
  • Choose your writing sample with care; it is a required part of the application
  • Show a project where you checked a model carefully, with clear baselines
  • Revise probability, linear algebra and core deep learning methods
  • Say which medical problem you would like to work on, and why

About ETH Zurich

ETH Zurich was founded in 1855. It is a Swiss federal university of science and technology. The ad says it has over 30,000 people from more than 120 countries.

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