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Gus Cheng Zhang

Top university

1 week ago

PhD in AI-Driven Placement and Routing for Power Electronics PCBs The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded for 3.5 years, including tuition fees, a UKRI stipend of £21,805 per year, and up to £2.5k per year in research support.

Deadline

Nov 1, 2026

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Electrical Engineering
Artificial Intelligence
Reinforcement Learning
Power Electronic
Pcb Design
Physics

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About this position

🎓 PhD opportunity at The University of Manchester in power electronics, printed circuit board (PCB) design, reinforcement learning, and Monte Carlo Tree Search.

The project aims to build an AI-driven placement and routing engine to automate a layout process that is still done largely by hand. This is a strong fit for students interested in electrical engineering, computer science, and related areas of physics.

Funding: Fully funded for 3.5 years, including tuition fees, a UKRI stipend of £21,805/year, and up to £2.5k/year research support.

Eligibility highlights: Graduates in electrical engineering, physics, or computer science with good Python/C++ skills are encouraged to apply.

Application timing: Apply by 1 November 2026 for a decision by 18 December, or by 15 January 2027 for a decision by 30 March 2027.

Action: Contact the supervisor before applying and use the linked details page for the full application information.

Funding details

Fully funded for 3.5 years, including tuition fees, a UKRI stipend of £21,805 per year, and up to £2.5k per year in research support.

What's required

Applicants should be graduates in electrical engineering, physics, or computer science. Good Python and C++ skills are preferred. The project is for a PhD student and the poster asks candidates to contact him before applying.

How to apply

Contact the supervisor before applying. Submit the application by 1 November 2026 for the first decision round, or by 15 January 2027 for the second decision round.

More information can be found here

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