University of Bath – LURS Studentship: Superconducting AI Power Networks (PhD)
Overview
Fully funded PhD studentship at the University of Bath on superconducting, cryogenically-cooled DC power networks for AI data centres. Covers Home or Overseas tuition fees, £21,805/yr stipend (2026/27) plus £1,000/yr training budget, up to 3 years. Deadline: 4 October 2026 (may close early).
Eligibility
A First Class or good Upper Second Class Honours degree (or equivalent); a Master's-level qualification is advantageous. Non-UK applicants must meet Bath's English language entry requirement.
Benefits
University of Bath LURS studentship: tuition fees at the Home or Overseas rate, a stipend of £21,805/year (2026/27 rate), and a £1,000/annum training support budget, for up to 3 years.
Available Fields
Required Documents
Standard University of Bath PhD application documents; select 'University of Bath LURS' funding and provide supervisor name/project title in the application form.
Application Process
Apply via the University of Bath's online PhD application form for Mechanical Engineering. Informal enquiries welcome to Dr Vincent Zeng (xz2478@bath.ac.uk).
The Department of Mechanical Engineering at the University of Bath is inviting applications for a fully-funded PhD project investigating next-generation, cryogenically-cooled superconducting power architectures for AI data centres.
Opportunity
University of Bath LURS Studentship: Superconducting AI Power Networks
Supervisors
- Dr Vincent Zeng (xz2478@bath.ac.uk) — informal enquiries welcome
- Prof Xiaoze Pei
University
University of Bath — Department of Mechanical Engineering
Country
United Kingdom
Location
Bath, United Kingdom
Study Level
PhD, up to 3 years
About the Project
The rapid growth of AI computing is driving unprecedented increases in data-centre power demand, making high-voltage DC (HVDC) power distribution a key enabling technology for future AI infrastructure. This project investigates next-generation power architectures based on cryogenic cooling and superconducting technologies to deliver highly efficient, high-power-density AI data centres — exploring superconducting DC networks, cryogenic power electronics, advanced thermal management, and agentic AI / Omniverse-based digital twins to co-design electrical and cooling systems.
Who Can Apply
A First Class or good Upper Second Class Honours degree (or equivalent); a Master’s-level qualification is advantageous. Non-UK applicants must meet Bath’s English language entry requirement.
Funding Notes
Candidates may be considered for a University of Bath ‘LURS’ studentship, covering tuition fees at the Home or Overseas rate, a stipend (£21,805, 2026/27 rate), and a £1,000/annum training support budget, for up to 3 years. This advert may close early once a suitable candidate is identified — early application is encouraged.
How to Apply
Apply via the University of Bath’s online PhD application form for Mechanical Engineering. Select ‘University of Bath LURS’ from the funding dropdown, and provide the supervisor’s name and project title under ‘Your PhD project’.
Application Deadline
4 October 2026 (may close earlier if a suitable candidate is found).
Ready to Apply?
Review the details above, then use the links below to apply or visit the official page.
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