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Publisher
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The University of Edinburgh

PhD Studentship in Computer Architecture and Compilers The University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jun 1, 2026

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Country

United Kingdom

University

The University of Edinburgh

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Keywords

Computer Science
Electrical Engineering
Mathematics
Computer Architecture

About this position

[Full time PhD tuition fees (Home or Overseas) plus a tax free stipend at UKRI rate (£21,805 per year for 2026/27, increases annually) for 3.5 years.]

This fully funded PhD studentship at The University of Edinburgh’s School of Informatics offers an exciting opportunity to work with Dr Jianyi Cheng on the project 'Memory Optimisation for Distributed ML Systems.' The research aims to develop innovative techniques for automatically mapping emerging machine learning models onto efficient spatial systems, with a focus on computer architecture and compilers. The School of Informatics is renowned for its research excellence, being the top Informatics institute in the UK for research power and societal impact, and provides a vibrant, international academic environment.

The studentship covers full-time PhD tuition fees for both Home (£6,300 per annum) and Overseas (£34,800 per annum) students, along with a tax-free stipend at the UKRI rate (£21,805 per year for 2026/27, increasing annually) for 3.5 years. Applicants from around the world are welcome. The anticipated start date is 1 September 2026, with flexibility for later start dates if needed.

Applicants should have a strong motivation to learn and explore new concepts and technologies relevant to the project. Experience in accelerator system programming (such as CUDA or SGLang) is required, and a good Bachelor’s Honours degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) is necessary. Proficiency in English (both oral and written) is required, and knowledge of compilers or ML systems is highly desirable.

To apply, candidates must submit a complete application via the University’s admissions portal (EUCLID) for the PhD in ICSA programme, stating 'Memory Optimisation for Distributed ML Systems' as the research topic and Dr Jianyi Cheng as the proposed supervisor. Required documents include all degree transcripts and certificates (with certified translations if applicable), evidence of English language capability, a short research proposal (max 2 pages), a full CV and cover letter (max 2 pages), and two references or the contact details of referees. Only complete applications will be considered. Applications submitted by 1 June 2026 will receive full consideration, but the position will remain open until filled.

This studentship provides a unique opportunity to contribute to cutting-edge research in computer architecture, compilers, and distributed machine learning systems, within a world-leading academic environment.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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