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Artificial Intelligence Powered Electric Vehicle Drivetrain Design


   School of Physics, Engineering and Technology

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  Dr Xing Zhao  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle drivetrain design and optimization process. In this program, new artificial intelligence methods will be developed and applied in finite element analysis. Topology optimization of electrical motors and power electronics based on the developed computational tools will be carried out to verify the effectiveness of the proposed new solution.

For more information about the PhD project, please contact Dr Xing Zhao, email: [Email Address Removed]

Academic entry requirements:

Candidates must have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics or a related subject.

How to Apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.


Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website https://www.york.ac.uk/physics-engineering-technology/study/funding/ for details about funding opportunities at York.
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