Publisher
source

University of Leeds

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University of Leeds School of Computer Science Studentship

PhD Scholarship in Mixed Precision Methods for Numerical Linear Algebra at Exascale University of Leeds in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 30, 2026

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Country

United Kingdom

University

University of Leeds

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Keywords

Computer Science
Mathematics
Linear Algebra
High Performance Computing

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About this position

PhD opportunity at the University of Leeds in the School of Computer Science: Mixed precision methods for numerical linear algebra at exascale.

This is a competitive School of Computer Science Studentship for 2026/27 entry, offering 1 funded place. The award includes full academic fees and a tax-free maintenance grant at the standard UKRI rate of £21,805 per year for 3.5 years.

The project sits at the intersection of computer science and mathematics, with a focus on numerical linear algebra, mixed precision methods, and exascale computing. It is suitable for applicants interested in high-performance scientific computing and advanced numerical algorithms.

Eligibility: applications are open to UK and international fee-rated applicants. Candidates should normally have a first-class or upper second-class British Bachelors Honours degree (or equivalent) in an appropriate discipline. Relevant industrial or academic experience may also be considered. Applicants must not already hold a PhD or be currently registered for a PhD.

English language: if English is not your first language, you must meet the University of Leeds minimum requirement (IELTS 6.5 overall with at least 6.5 in writing and 6.0 in reading, listening, and speaking, or equivalent).

Deadline: the project-specific closing date is 30 September 2026 at 23:59. The award must be taken up by 1 February 2027.

How to apply: submit a formal research degree application through the University of Leeds website. Choose Research Degrees, Research Postgraduate, select PhD Computer Science Full Time, and use 1 February 2027 as the proposed start date. State the project title and Dr Massimiliano Fasi as proposed supervisor, and mention that you are applying for the School of Computer Science Studentship 2025/26: Mixed Precision. Upload a personal statement, CV, and full transcripts.

For informal enquiries, applicants are encouraged to contact the supervisor. Application support is available via PGR Admissions at [email protected].

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.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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