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Dr Xing Zhao
Applications accepted all year round
Self-Funded PhD Students Only
York
United Kingdom
Artificial Intelligence
Automotive Engineering
Electrical Engineering
Electronic Engineering
Engineering
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 motor design and optimization process. In this program, new machine learning/computer vision/deep learning methods will be developed and applied in finite element analysis. Topology optimization of electric motors based on the developed computational tools will be carried out to verify the effectiveness of the proposed novel solution.
For more information about the PhD project, please contact Dr Xing Zhao, email: xing.zhao@york.ac.uk
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 View Website for details about funding opportunities at York.
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