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ETH AI Center Doctoral Fellowship 2027

ETH Zurich

// Alert::widget() ?> chevron_left Übersicht ETH AI Center Doctoral Fellowship 2027 100%, Zurich, fixed-term print Drucken The ETH AI Center promotes trustworthy, accessible, and inclusive AI systems.

Study inSwitzerland
DegreePhD / Doctoral
FundingFunding details
Deadline27 Oct 2026
Fields of study Eligible study areas
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Decision first

Can you apply?

Use these captured criteria for a quick screening check. Missing information is shown as unverified rather than guessed.

See complete eligibility details ↓
Academic minimum You are expected to have completed or will complete a Master’s degree in computer science, mac…
Required subject / background You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other releva…
Eligibility checks
  • Academic level: PhD / Doctoral.
  • Study area: All study areas.
  • Prior degree / academic background: You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineeri….
  • Study destination: Switzerland.
Review carefully
  • Applicants who do not hold the required prior degree/background may not be eligible.
Funding package

Funding & benefits

Funding details are not stated on the official page as of 16 October 2026. Check the official source before applying.

Study options

Eligible programmes & fields

The official evidence does not present a finite verified programme list.

Use the verified study fields above for subject-fit screening and confirm the exact eligible degree on the provider’s official programme page before applying.

Overview

About this opportunity

// Alert::widget() ?> chevron_left Übersicht ETH AI Center Doctoral Fellowship 2027 100%, Zurich, fixed-term print Drucken The ETH AI Center promotes trustworthy, accessible, and inclusive AI systems. For this goal, we bring together interdisciplinary research teams of AI foundations, applications, and implications across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work.

The opportunity currently maps to study areas including All study areas. Use the programme and eligibility sections below to decide whether the opportunity matches your academic background before opening the official application portal.

Timeline

Key dates

Application deadline27 October 2026
Requirements

Eligibility requirements

  • You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027)
  • You have an excellent track record and must meet the general admission requirements for a doctorate at ETH Zurich (available here)
  • Your level of English allows you to discuss your topics with your colleagues and report your findings in writing
  • Academic background: You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027)

“You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027)”

Applicant fit

Should you apply?

This is a PhD / Doctoral-level opportunity working in All study areas. The decisive requirement, in ETH Zurich's words, is: "You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027)." With 10 days left, only applicants with documents already prepared should start now.

Check these against your profile

  • Academic level: PhD / Doctoral.
  • Study area: All study areas.
  • Prior degree / academic background: You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineeri….
  • Study destination: Switzerland.

Review carefully if

  • Applicants who do not hold the required prior degree/background may not be eligible.

This is a factual checklist of verified programme requirements, not a personalised eligibility decision. The awarding institution makes the final eligibility decision.

How to apply

Application process

Application methodOnline application portal

Go to official application ↗

Application planning

Application checklist

  • Compare your profile with the verified eligibility criteria on this page.
  • Use the official application route linked on this page rather than a third-party submission form.
  • Submit before the verified application timing shown in the Key dates section.

This checklist organises the verified requirements already shown on this page; it does not replace the provider’s official instructions.

Verified questions

Frequently asked questions

Who can apply?

In ETH Zurich's own words: "You are expected to have completed or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027)."

What level of study is it for?

It is for PhD / Doctoral level applicants at ETH Zurich in Switzerland.

When is the deadline?

Applications close on 27 Oct 2026. That is 10 days from now.

How was this information verified?

Every fact on this page was read from ETH Zurich's official pages, which ScholarshipFrontier rechecks automatically; the sources and the last check date are listed at the bottom of the page.

Source verification

Official sources & verification

ScholarshipFrontier checks official scholarship, admissions and programme pages and keeps source evidence separate from the public summary.

Official sources last checked: 16 Oct 2026 · Verified 3 h ago

Timing

Timeline context

  • Closes in 10 days (Tuesday 27 October 2026).
Provider

About ETH Zurich

ETH Zurich is based in Switzerland and publishes this opportunity on its own official pages, which ScholarshipFrontier reads directly.

All verified opportunities from ETH Zurich

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