Queen Mary welcomes international applications for an intelligent power systems PhD. Research develops optimisation and machine-learning control. Funding leaves an overseas tuition shortfall. Read the project description alongside its funding conditions.
Deadline and Research Focus
Deadline: 30 November 2026. Interviews: December. Starts: January, April or September 2027. Coordinate distributed energy resources under security, resilience and privacy constraints.
Location, University and Supervision
The university is in London, United Kingdom. Funding uses a London stipend rate. The School of Electronic Engineering and Computer Science hosts this opportunity. Its Centre for Electronics provides the research setting. Dr Da Huo supervises. The research direction will develop around the student’s interests and background.
Eligibility and Funding
Power/electrical engineering backgrounds are welcome, alongside computing or AI applicants interested in power systems. Strong programming and machine-learning knowledge are required. Three-year support covers Home-rate fees and £22,618 annually at the 2026/27 rate. Later rates are unconfirmed. International students must pay the substantial tuition difference; no waiver is available.
How to Apply
- View scholarship details.
- Prepare CV, cover letter, proposal, two references and required certificates.
- Follow EECS application instructions.
Before You Submit
Checked 23 October 2026. Confirm current terms. Confirm current terms before applying. Allow time to obtain supporting documents.