Artificial Intelligence based Electric Vehicle Motor Control


   School of Physics, Engineering and Technology

  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 control methods to optimize the performance of electric vehicle motor drive system in terms of reliability and efficiency. In this program, new machine learning/computer vision/deep learning methods will be developed and applied in motor control algorithms development, which will create a new breed of cutting-edge electric vehicle technologies around the world.

For more information about the PhD project, please contact Dr Xing Zhao, email:

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.


Engineering (12)

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 View Website for details about funding opportunities at York.

Where will I study?