ETH AI Center Doctoral Fellowship in Interdisciplinary AI Research
Join Europe’s leading PhD program in trustworthy, inclusive AI at ETH Zurich with co-mentorship from two interdisciplinary PIs.
Best for:Best for recent or upcoming Master’s graduates in AI, machine learning, physics, engineering, or related fields with a strong interdisciplinary mindset and a passion for impactful, collaborative research.
Overview
The ETH AI Center Doctoral Fellowship offers a prestigious interdisciplinary PhD opportunity at ETH Zurich, focusing on advancing trustworthy, accessible, and inclusive AI systems. This program brings together researchers from diverse fields—including computer science, medicine, robotics, and social sciences—to explore AI from multiple angles. Fellows propose their own research projects and collaborate with two co-supervisors from distinct disciplines, ensuring a rich, cross-pollinating academic environment. The program emphasizes both academic rigor and practical impact, with optional tracks for entrepreneurship or industry engagement. It is ideal for candidates with a strong interdisciplinary background and a passion for shaping the future of AI.
What you'll do
- Conduct independent research on a self-proposed project within the broad scope of AI, focusing on trustworthy, accessible, and inclusive systems.
- Collaborate with two co-supervisors from distinct academic fields, ensuring interdisciplinary insights and equal contribution from both mentors.
- Engage in cross-disciplinary knowledge exchange with other fellows, research groups, and faculty through retreats, symposia, and summits.
- Participate in training and continuing education activities, including language courses and workshops designed to enhance career development.
- Optionally pursue an entrepreneurial or industry track to translate research into practical applications or innovations.
- Present research findings in writing and verbally to colleagues, contributing to the broader AI research community at ETH Zurich.
Requirements
Degree required: Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or a related relevant field, completed or to be completed at least 3 months before the fellowship start (by June 2027).
Degree offered: PhD
Language: English; proficiency required for academic discussions and written reporting (no specific test score mentioned).
Instruction: English
- Proven academic excellence and a strong track record in research.
- Ability to propose and execute an original, interdisciplinary AI research project.
- Proficiency in English at a level sufficient for academic discussions and written reporting.
- Collaborative mindset and willingness to work with diverse teams across disciplines.
- Must meet the general admission requirements for a doctorate at ETH Zurich.
- No nationality restrictions mentioned; open to international applicants.
- No age or residency restrictions specified.
Funding & terms
How to apply
Deadline: 2026-10-27 (CET)
Applicants must submit their application exclusively through the ETH AI Center’s online application portal. Before applying, candidates are required to read the fellowship guidelines and FAQs. No email or postal applications will be accepted.
- CV
- Cover letter
- Research proposal or project outline
- Transcripts of Master’s degree and prior academic records
- Proof of English proficiency (if not a native speaker, though not explicitly required in the text)
- Letters of recommendation (number not specified)
Contact
ETH AI Center Admissions· Fellowship Coordinator
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.