Funding
Self-funded
Project code
SEM10770529
Department
School of Electrical and Mechanical EngineeringStart dates
October, February and April
Application deadline
Applications accepted all year round
Applications are invited for a self-funded, 3 year full-time or 6-year part-time PhD project.
The PhD will be undertaken within the School of Electrical and Mechanical Engineering and supervised by Dr. Mahsa Mehrad and Dr. Abdul Tawfik.
The work on this project will:
- Develop a novel optical monitoring architecture for high-speed power electronic devices.
- Investigate switching-delay variations caused by temperature, ageing, and operating conditions.
- Design high-resolution timing extraction techniques for transient switching analysis.
- Develop predictive delay estimation methods for real-time switching compensation.
- Improve efficiency and reliability of power electronic converters.
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Design and develop an optical system for monitoring switching events in power electronic devices.
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Develop high-resolution timing extraction techniques.
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Investigate the influence of temperature, and operating conditions on switching performance.
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Design an adaptive control framework capable of correcting timing errors in real time.
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Integrate the proposed monitoring and control architecture into a laboratory-scale power electronic platform.
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Validate system performance under realistic operating conditions.
The transition towards net-zero energy systems is driving increasing demand for highly efficient, reliable, and scalable power electronic converters for applications such as electric vehicles, renewable energy systems, energy storage technologies, and smart grids. Modern power electronic systems increasingly rely on high-speed power semiconductor devices capable of operating under high voltage, high temperature, and fast-switching conditions.
However, the overall performance of these systems is strongly dependent on accurate switching control. Variations in temperature, and manufacturing tolerances can introduce switching-delay drift and timing mismatches, resulting in increased switching losses, reduced efficiency, and lower system reliability.
This project proposes the development of an intelligent optical monitoring and adaptive timing control architecture capable of observing switching events with high temporal resolution and compensating for timing variations in real time. The research aims to move beyond conventional gate-driver and monitoring approaches by introducing timing-aware optical sensing and adaptive control techniques that continuously track switching behaviour and maintain optimal system operation.
The proposed research will contribute to the development of next-generation intelligent power electronic systems with improved efficiency, reliability, and operational lifetime.
The increasing deployment of electric vehicles, renewable energy systems, and energy storage technologies is creating demand for power electronic converters that operate with higher efficiency, greater reliability, and improved power density. The performance of these converters is strongly influenced by the switching behaviour of power semiconductor devices and the capability of control systems to maintain precise timing under varying operating conditions.
Conventional gate-driver and monitoring systems typically rely on fixed switching assumptions and electrical feedback signals. However, switching delay can vary significantly due to different factors. These variations can lead to timing mismatches, increased switching losses, thermal stress, and reduced system lifetime.
This PhD project proposes a novel intelligent optical monitoring and adaptive timing control framework for high-speed power electronic devices. The research will investigate the use of optical techniques to capture switching events and extract high-resolution timing information that reflects the dynamic behaviour of the device during operation.
The extracted timing information will be processed using digital timing analysis techniques. Predictive delay estimation methods will then be developed to identify switching-delay drift caused by changing operating conditions. Based on this information, an adaptive control mechanism will dynamically compensate for timing variations and maintain accurate switching synchronisation.
The project will include the design of optical hardware, timing extraction circuits and adaptive control strategies. Experimental validation will be carried out using a laboratory-scale power electronic platform operating under varying temperature, load, and switching conditions.
The expected outcomes include improved switching accuracy, reduced switching losses, enhanced reliability, and extended operational lifetime of power electronic systems. The research has potential applications across electric vehicles, renewable energy systems, industrial power converters, and future intelligent energy infrastructures.
Fees and funding
Visit the research subject area page for fees and funding information for this project.
Funding availability: Self-funded PhD students only.
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only - eligibility criteria apply).
Bench fees
Some PhD projects may include additional fees – known as bench fees – for equipment and other consumables, and these will be added to your standard tuition fee. Speak to the supervisory team during your interview about any additional fees you may have to pay. Please note, bench fees are not eligible for discounts and are non-refundable.
Entry requirements
You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a master’s degree in electrical engineering, Electronic Engineering, Semiconductor Devices, Materials Science, Physics, or a related area. In exceptional cases, we may consider equivalent professional experience and/or Qualifications.
English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
International students will require a study visa from UKVI to pursue the degree in the UK. If the research is in a sensitive or technological subject, the student may also need to secure an Academic Technology Approval Scheme (ATAS) certificate from the UK Foreign Office.
- A strong academic background in the related field.
- Knowledge of power electronics, semiconductor device physics, especially wide-bandgap or III-nitride materials (e.g., GaN, AlGaN).
- Experience with numerical simulation tools is highly desirable.
- Familiarity with electrical characterisation techniques is an advantage.
- Strong analytical skills and the ability to interpret complex physical phenomena.
- Ability to work independently and as part of a multidisciplinary research team.
- Good written and spoken communication skills for writing reports, publishing research findings, and presenting at conferences.
How to apply
We’d encourage you to contact Dr Mahsa Mehrad ([email protected]) to discuss your interest before you apply, quoting the project code.
When you are ready to apply, please follow the 'Apply now' link on the Electronic Engineering PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.
If you want to be considered for this self-funded PhD opportunity you must quote project code SEM10770529 when applying.