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
Country
United Kingdom
University
The University of Manchester

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
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
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.