Are you passionate about high-performance computing and ready to shape the future of scientific simulation on the world’s most powerful supercomputers? The University of Leeds School of Computer Science Scholarship offers a rare, fully funded pathway into cutting-edge research on mixed precision methods for numerical linear algebra at exascale. This highly competitive studentship provides one outstanding researcher with full academic fees and a generous tax-free stipend, positioning you at the forefront of algorithms that will power tomorrow’s scientific discoveries.
With the application deadline of 30 September 2026 approaching, now is the ideal moment to explore this opportunity and prepare a strong application. This guide covers everything you need to know about the University of Leeds Computer Science PhD Scholarship, the research project, benefits, eligibility, and how to apply successfully.
Scholarship Summary
- Host Country: UK
- Host University: University of Leeds
- Scholarship Type: PhD Scholarships
- Eligible Countries: All Countries
- Scholarship Benefits: Full tuition fee, Living stipend, etc.
About the School of Computer Science Scholarship
The School of Computer Science Scholarship 2025/26: Mixed Precision is a prestigious University of Leeds funded studentship for 2026/27 entry. It supports one talented postgraduate researcher to join the thriving research community in the School of Computer Science. Funding begins on 1 February 2027 and covers 3.5 years of full-time study.
The award includes:
- Full academic fees (for both UK and international students)
- A tax-free maintenance grant at the standard UKRI rate of £21,805 per year for 3.5 years
This is a competitive School of Computer Science Studentship. All eligible applicants enter a single competition judged purely on academic merit. Securing an academic offer for the linked project does not automatically guarantee funding. Only one funded place is available.
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The Research Project: Mixed Precision Methods for Numerical Linear Algebra at Exascale
Modern supercomputers increasingly rely on hardware accelerators originally designed for artificial intelligence. These accelerators deliver exceptional performance using low-precision arithmetic that works well for machine learning but falls short for many scientific applications. The challenge is to create algorithms that intelligently combine low and high precision so that accuracy is preserved while speed and energy efficiency improve dramatically.
This PhD project focuses on developing robust mixed-precision algorithms for large-scale numerical linear algebra problems, particularly sparse eigenvalue problems and matrix functions. Current methods cannot fully exploit today’s accelerators and are therefore unsuitable for the largest available supercomputers. Your work will redesign these methods for mixed precision and deliver scalable solutions that can eventually be integrated into widely used scientific software libraries.
Key elements of the project include:
- Designing precision-aware algorithms that maintain numerical reliability
- Implementing and testing solutions on state-of-the-art high-performance computing platforms
- Contributing code to established libraries such as SLEPc (Scalable Library for Eigenvalue Problem Computations) and MAGMA (Matrix Algebra on GPU and Multi-core Architectures)
You will have opportunities to collaborate with researchers at the University of Leeds, the Rutherford Appleton Laboratory (a UK national laboratory), and Environment and Climate Change Canada. These partnerships open doors to real-world applications in climate modelling, engineering simulation, and beyond.
The project is supervised by Dr Massimiliano Fasi, whose research centres on numerical linear algebra, computer arithmetic, and mathematical software. You can learn more about his background and publications on his staff profile.
Applicants ideally have a strong interest in numerical algorithms and scientific computing. Suitable backgrounds include applied mathematics, computational mathematics, computer science, physics, or engineering. Basic programming experience in languages such as C, C++, Python, Julia, or MATLAB is required; prior knowledge of numerical linear algebra is desirable but not essential.
University of Leeds Computer Science PhD Scholarship Benefits in Detail
This fully funded PhD Scholarship at University of Leeds removes the major financial barriers that often prevent talented researchers from pursuing doctoral study. Benefits include:
- Complete coverage of academic tuition fees for the full duration
- Tax-free maintenance stipend of £21,805 per year (UKRI rate) paid for 3.5 years
- Access to world-class computing facilities and high-performance computing resources
- Opportunities to present work at national and international conferences
- Support for professional development through workshops and training
- Membership of a vibrant global research community
Please note that relocation costs for international students (visa fees, Immigration Health Surcharge, flights, and related expenses) remain the responsibility of the student and are not covered by the award. For guidance on fee status, consult the UKCISA website or the University’s fee assessment page.
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Eligibility Criteria
The scholarship is open to applicants of all nationalities, including UK and international students. Key conditions are:
- Applicants must normally hold a first-class or upper second-class British Bachelor’s Honours degree (or equivalent) in an appropriate discipline. Relevant industrial or academic experience is also recognised.
- Candidates who already hold a PhD or are currently registered for a PhD are not eligible. Those who previously started a PhD but did not complete may be considered.
- The award must be taken up by 1 February 2027.
- Successful candidates must live within a reasonable distance of the University of Leeds while receiving the scholarship.
- English language requirements: IELTS 6.5 overall with at least 6.5 in writing and 6.0 in other components (or equivalent). The test must be dated within two years of the course start date.
Full details on entry requirements appear on the official funding page and the University’s research degrees admissions information.
Why Choose the University of Leeds for Your PhD?
The University of Leeds is a leading research-intensive institution and a member of the Russell Group. In the School of Computer Science, 99% of submitted research activity was rated world-leading or internationally excellent in REF 2021, with 63% rated world-leading.
Studying for a PhD here means joining an active professional research environment that uses UK-leading facilities. You will work alongside researchers who are advancing the frontiers of computer science, mathematics, and physical sciences while addressing real-world challenges with national and global impact.
Additional advantages include:
- Strong support through the Leeds Doctoral College, which connects researchers to guidance, training, and opportunities
- Close industry and academic partnerships that provide networking at talks, seminars, and conferences
- Professional skills development workshops designed to enhance career readiness
- Comprehensive personal and wellbeing services, including mental health support
- A diverse global community of students, researchers, and academics from more than 140 countries
The School of Computer Science itself has a long history of excellence, tracing its roots to 1957 when Leeds became one of the first UK universities to acquire a computer. Today it maintains partnerships with organisations such as the Alan Turing Institute and continues to invest in world-class facilities and staff. Explore the school further on the School of Computer Science website.
How to Apply for the University of Leeds Computer Science PhD Scholarship
Applications are made through the University of Leeds research degree online system. Follow these steps carefully:
- Create a login ID on the University research applications portal.
- Select application type “Research Degrees, Research Postgraduate”.
- Choose admission year 2026/27 Academic Year.
- Select “PhD Computer Science Full Time” as the planned course of study.
- Enter the proposed start date of 1 February 2027.
- In the research information section, clearly state that you wish to be considered for “Mixed precision methods for numerical linear algebra at exascale” and list Dr Massimiliano Fasi as your proposed supervisor.
- In the finance section, state that you are applying for the School of Computer Science Studentship 2025/26: Mixed Precision.
- Upload all required supporting documents before the deadline:
- Full academic transcripts (or transcripts to date if still studying), including the grading scheme
- A personal statement explaining your interest in the project, why you have chosen it, and how your skills match the requirements
- A current CV
- Evidence of English language proficiency if applicable
Applications are reviewed only after the closing date. Supervisors shortlist and interview candidates, then put forward their strongest applicants to the School Selection Panel. Academic and funding offers are expected by 10 November 2026, with unsuccessful applicants notified by 20 November 2026.
The University strongly encourages potential applicants to contact the supervisor informally before applying. Early submission is recommended to ensure all documents are complete.
Selection Process and Key Deadlines for University of Leeds Computer Science PhD Scholarship
- Project and funding application deadline: Wednesday 30 September 2026 at 23:59
- Applications processed after the deadline and circulated to supervisors
- Shortlisting and interviews conducted by supervisors
- School Selection Panel decides funded candidates and reserves
- Offers issued by 10 November 2026
- Funding start date: 1 February 2027
Remember that academic admission and funding are separate processes. An offer of a place on the PhD programme does not guarantee scholarship funding.
Tips for a Competitive Application
To maximise your chances for this fully funded PhD Scholarship University of Leeds 2026:
- Craft a personal statement that demonstrates genuine enthusiasm for mixed-precision algorithms and high-performance computing
- Highlight any programming experience, numerical methods coursework, or relevant research projects
- Show how your background prepares you to contribute to library development and collaborative research
- Contact Dr Fasi early to discuss the project and receive informal feedback
- Ensure all documents are complete and submitted well before the deadline
Conclusion: Take the Next Step Toward Exascale Innovation
The University of Leeds Computer Science PhD Scholarship represents an outstanding chance to conduct high-impact research while receiving full financial support. By developing mixed-precision methods that unlock the potential of modern accelerators, you will help scientific computing keep pace with the demands of exascale systems and contribute to solutions for climate science, engineering, and beyond.
With only one funded place available and a competitive selection process based on academic merit, preparation is essential. Review the official details, contact the supervisor, and submit a polished application by 30 September 2026.
For application queries, email the PGR Admissions team at phd@engineering.leeds.ac.uk. For project-specific questions, reach out directly to Dr Massimiliano Fasi.
This is more than a scholarship—it is an invitation to join a world-class research community and help shape the algorithms that will power scientific discovery for years to come. Apply now and take your place at the University of Leeds.
You can find full official details on the University of Leeds funding page.