PhD Programme in Machine Learning Systems
Fully-funded 4-year PhD studentships exploring the synergy between machine learning and computer systems at the University of Edinburgh.
Best for:Best for quantitative graduates with strong programming, mathematics, and machine learning or computer systems backgrounds seeking a structured PhD.
Overview
The University of Edinburgh's School of Informatics offers a specialized PhD programme focusing on Machine Learning Systems through a collaborative Center for Doctoral Training (CDT). This cohort-based initiative trains researchers to develop expertise across the entire systems-ML stack, addressing practical challenges in industries ranging from medical devices to high-performance computing. Students engage in holistic coursework, cross-disciplinary research, industrial internships, and entrepreneurship training. Successful applicants receive comprehensive financial support for four years, positioning them for impactful careers in academia and industry.
What you'll do
- Conduct original doctoral research at the intersection of machine learning and computer systems
- Participate in cohort-based training activities, workshops, and interdisciplinary team projects
- Engage with industrial partners through built-in internships and collaborative applied tasks
- Complete foundational coursework covering hardware, software, AI ethics, and leadership
- Publish research findings in peer-reviewed conferences and journals
- Contribute to widening participation and engagement initiatives associated with the programme
Requirements
Degree required: Strong degree or higher qualification in computer science, mathematics, engineering, physical sciences, economics, or a related quantitative field
Degree offered: PhD
Language: English; must meet the University PhD entry language requirements
Instruction: English
- Solid programming experience
- Familiarity with machine learning methods
- Background in deep learning environments or computer systems
- Sufficient computing and mathematical background
- Open to UK, EU, and international citizens meeting University PhD entry standards
- International fee status recruitment is restricted to approximately 3 students per year
- Home students may be eligible for enhanced stipends under specific widening participation terms
Funding & terms
How to apply
Deadline: 2026-12-14
Candidates must review the application instructions on the official CDT website and submit their materials prior to the first-stage deadline. Home applicants may be considered in subsequent rounds until March 2027 subject to availability. Direct any informal inquiries to the designated admissions email address.
- CV
- Transcripts
- References
Contact
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