PhD: AI-Driven EMC Digital Twin for WBG Converters

Coventry; Coventry; Hybrid; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Tuition fees covered

Job summary

Coventry University offers a 3.5-year full-time PhD studentship focused on developing an AI-driven EMC Digital Twin for automotive WBG converters. The project combines electromagnetic modelling, machine learning and hardware validation to predict emissions and support rapid pre-compliance testing.

Candidates will create baseline and degraded EMI layouts, develop AI surrogates, and validate the framework in Coventry University's pre-compliance laboratories, aiming to reduce cost and time in

Qualifications

• A minimum of a 2:1 first degree in a relevant discipline/subject area.
• IELTS academic overall minimum score of 6.5 with a minimum of 6.0 in each component.
• Background in Electrical/Electronic Engineering, Power Electronics, Automotive Engineering, Computer Science, Applied Mathematics, or a related discipline.

Responsibilities

• Design baseline and degraded EMI layout prototypes for WBG converters and extract layout parasitics.
• Develop dual AI surrogates: a Gaussian Process Regression model for low-frequency conducted emissions and a Physics-Informed Neural Network for spatial radiated fields.
• Validate and calibrate the digital twin via prototype hardware in Coventry University labs.

Skills

Mathematical programming

AI/ML fundamentals

Electrical engineering

Education

2:1 degree (relevant discipline)

IELTS 6.5 overall (min 6.0 in each)

Tools

SPICE

3D EM simulation tools

Job description

Coventry University offers a 3.5-year full-time PhD studentship focused on developing an AI-driven EMC Digital Twin for automotive WBG converters. The project combines electromagnetic modelling, machine learning and hardware validation to predict emissions and support rapid pre-compliance testing.

Candidates will create baseline and degraded EMI layouts, develop AI surrogates, and validate the framework in Coventry University's pre-compliance laboratories, aiming to reduce cost and time in