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Edinburgh CDT in Machine Learning Systems PhD with Integrated Study 2027 (United Kingdom)
The 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.
| Amount / funding | Fully 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. |
|---|---|
| Deadline | Deadline 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 date | September 2027 |
| Level | PhD |
| Funding type | full |
| Field | 02 Computer Science & AI |
About this scholarship
The 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.
Minimum requirements
Applicant 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).
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.
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.
Tags: machine learning systems, artificial intelligence, deployed ML, systems