Publisher
source

Coventry University

Funded PhD in AI-Enhanced EMC Digital Twin for Automotive WBG Converters Coventry University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD studentship for 3.5 years. Funding includes tuition fees and a bursary/stipend.

Deadline

Nov 15, 2026

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Country

United Kingdom

University

Coventry University

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Automotive Engineering
Mathematical Modeling
Digital Twin Technology
Electromagnetic Compatibility
Wide Bandgap Semiconductors
Power Electronic
Physics
ML

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About this position

PhD opportunity: AI-Enhanced EMC Digital Twin for Automotive WBG Converters at Coventry University, Centre for E-Mobility and Clean Growth.

This funded PhD project focuses on artificial intelligence, electrical engineering, automotive engineering, and mathematical modelling for next-generation electric mobility. The research aims to build a predictive, multi-domain electromagnetic compatibility (EMC) digital twin for automotive power converters using wide-bandgap semiconductors such as SiC and GaN.

The project addresses high-frequency EMI challenges caused by fast switching transients in WBG converters. The successful candidate will develop AI surrogates for virtual pre-compliance evaluation, including Gaussian Process Regression for conducted emissions and Physics-Informed Neural Networks that embed Maxwell’s equations for radiated fields. The work combines electromagnetic modelling, machine learning, 3D simulation, and hardware validation.

Funding: tuition fees and bursary/stipend are included. The studentship lasts 3.5 years.

Eligibility: applicants should have at least a 2:1 first degree in a relevant subject with strong marks, plus IELTS Academic 6.5 overall with 6.0 in each component. Suitable backgrounds include Electrical/Electronic Engineering, Power Electronics, Automotive Engineering, Computer Science, Applied Mathematics, or related disciplines.

Skills and interests: circuit analysis, power electronics, electromagnetic principles, computational programming, SPICE/PWL simulation, willingness to learn 3D electromagnetic tools, and interest in AI/ML frameworks.

How to apply: contact Prof Babis Vogiatzakis at [email protected] for more information. Applications require full supporting documentation, a covering letter, and a 2000-word supporting statement showing fit with the project.

Location: Coventry, United Kingdom.

Deadline: Sunday, 15 November 2026.

Funding details

Funded PhD studentship for 3.5 years. Funding includes tuition fees and a bursary/stipend.

What's required

Applicants need a minimum 2:1 first degree in a relevant discipline with at least 60% in the project element or equivalent, and at least 60% overall module average. They should be able to complete the PhD within 3.5 years, have IELTS Academic overall 6.5 with no component below 6.0, and ideally come from Electrical/Electronic Engineering, Power Electronics, Automotive Engineering, Computer Science, Applied Mathematics, or a related field. Strong analytical and problem-solving skills are required, along with the ability to quickly learn simulation environments, analytical evaluation techniques, and experimental frameworks. Preferred skills include theoretical knowledge of circuit analysis, power electronics, or electromagnetic principles; mathematical/computational programming; SPICE/PWL simulation; willingness to learn 3D electromagnetic tools; and interest in AI/ML frameworks.

How to apply

Contact the project supervisor by email to find out more about the project. Submit full supporting documentation, a covering letter, and a 2000-word supporting statement explaining how your expertise and interests fit the project.

More information can be found here

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