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Edinburgh CDT in Machine Learning Systems PhD with Integrated Study 2027 (United Kingdom)

openVerified · SCH-DB-222

Official nameEdinburgh CDT in Machine Learning Systems PhD with Integrated Study 2027 (United Kingdom)
Sponsor countryUnited Kingdom
Amount / fundingFully funded studentship: tuition fees and stipend. The exact 2027/28 stipend rate is not stated on the official degree page; the CDT application guidance and FAQs confirm the two-stage process and document requirements. Do not use the secondary-reported September 2026 figures (minimum 10 studentships for September 2026 entry) as 2027 figures.
DeadlineDeadline for initial applications: 14 December 2026 (official University of Edinburgh degree page, 2027-28 entry). Stage 2 EUCLID deadline set individually by the CDT team after Stage 1.
Start dateSeptember 2027
Minimum requirementsApplicant to the Centre for Doctoral Training in Machine Learning Systems PhD with Integrated Study (4 years full-time, 8 years part-time for students not requiring visa sponsorship), for 2027-28 entry. Entry requirements are for the 2027-28 academic year per the official degree page; applicants should contact the CDT team about part-time specifics. Research proposal must fit the CDT remit (ML methods that work when deployed, bridging ML and systems).
Short descriptionThe University of Edinburgh's Centre for Doctoral Training in Machine Learning Systems — a four-year PhD with integrated study focused on machine learning methods that actually work when deployed, bridging ML and systems. The 2027-28 competition opens with an initial-application deadline of 14 December 2026, followed by a formal EUCLID application for Stage 1 survivors.
Official application linkApply on the official page →

Level: PhD · Funding type: full · Field: 02 Computer Science & AI

Apply on the official page →

Application checklist

  • Submit the initial (first-stage) application by 14 December 2026
  • If successful at Stage 1, submit the formal EUCLID application by the deadline emailed by the CDT team (minimum one week given; contact the CDT if no communication arrives one week before the EUCLID deadline)
  • Include in the EUCLID application: research proposal (or research approach for company-linked projects), academic CV, transcripts and certificates of all degrees to date, and the other documents listed in the CDT application guidance (applications missing documents 1-4 are automatically rejected as incomplete)
  • Identify up to two supervisors relevant to the research project, fitting the CDT remit (machine learning methods that work when deployed, bridging ML and systems)
  • Check official page for the current-round deadlines, as the CDT runs three recruitment rounds with round-specific deadlines

Application tips

  • Start the EUCLID application before knowing the Stage 1 outcome — the CDT warns the turnaround is short (minimum one week) and incomplete applications are automatically rejected.
  • Make the systems element explicit: a common Stage 1 failure is a proposal that lacks the systems side of the ML-and-systems remit.
  • You may indicate up to two supervisors even close to the deadline — use that option rather than delaying submission.
  • Do not rely on the September 2026 studentship counts from aggregator articles; the official degree page confirms the 14 December 2026 initial deadline for 2027-28 entry.

Tags

  • machine learning systems
  • artificial intelligence
  • deployed ML
  • systems

Always verify deadline, amount and eligibility on the official page before applying. Values marked ESTIMATE are based on a previous cycle and are not confirmed for the current round.