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University of Edinburgh

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PhD with Integrated Study in Machine Learning Systems at the University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The CDT programme is fully funded and covers a stipend, tuition fees for both UK and overseas students, and a research and travel grant for 4 years full-time study (or part-time equivalent). Funding does not cover visa fees or IHS for international students. No application fee is charged.

Deadline

Dec 14, 2026

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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
High Performance Computing
Physics
Distributed System
Informatic
ML

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About this position

Centre for Doctoral Training in Machine Learning Systems PhD with Integrated Study at the University of Edinburgh (School of Informatics, College of Science and Engineering).

This is a fully funded PhD programme in machine learning systems, combining computer science, informatics, AI, systems design, high-performance computing, and related research areas. The programme is designed for students who want to work at the intersection of ML and systems, with applications mentioned across in-car systems, medical devices, mobile phones, sensor networks, condition monitoring, creative industries, patient care, social networking, and high-frequency trading.

The PhD includes integrated study: 180 credits of courses over years 1–3 alongside your doctoral research. Training covers foundational and specialised ML systems courses, an introductory research project, an internship or alternative engagement in year 3, and transferable skills in responsible research, EDI, public engagement, entrepreneurship, and research communication. Students also benefit from industry partner interactions and access to the Bayes Centre, Informatics Forum, and GPU cluster computing.

Funding: full funding for 4 years full-time study (or part-time equivalent), including stipend, tuition fees for UK and overseas students, and a research and travel grant. Visa fees and IHS are not covered for international students.

Eligibility: UK 2:1 honours degree or equivalent in a relevant field such as informatics, computer science, AI, cognitive science, mathematics, physics, engineering, or another field with sufficient evidence of capability. English language proficiency is required for all applicants.

Application: apply via the CDT website. The initial application deadline is 14 December 2026. There is no application fee.

Funding details

The CDT programme is fully funded and covers a stipend, tuition fees for both UK and overseas students, and a research and travel grant for 4 years full-time study (or part-time equivalent). Funding does not cover visa fees or IHS for international students. No application fee is charged.

What's required

Applicants need a UK 2:1 honours degree or international equivalent in a relevant area such as informatics, computer science, AI, cognitive science, mathematics, physics, engineering, or another field with sufficient additional evidence of capability in the required areas. English language proficiency is required for all applicants, including UK nationals, and accepted evidence includes IELTS Academic, TOEFL-iBT, C1 Advanced/C2 Proficiency, Oxford ELLT, Oxford Test of English Advanced, a degree taught and assessed in English in an approved context, or certain professional qualifications. Part-time study is available only to students not requiring visa sponsorship.

How to apply

Apply through the CDT website using the detailed application guidance provided there. The deadline for initial applications is 14 December 2026. No additional funding application is needed because applying to the CDT automatically includes full funding consideration.

More information can be found here

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