PhD Studentship in Electrical Engineering
University of Nottingham
United Kingdom
Location
UK Other
Closing Date
Friday 28 March 2025
Reference
ENG233
Digital-Twinning of Electric Propulsion Systems
Applications are invited for the above multiple research studentships to join the Power Electronics, Machines and Drives Research Group at the University of Nottingham. The PEMC group has undergone a significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m² of research space and a construction and testing capability up to 5MW.
The successful candidate will conduct research within a team focusing on innovative electric propulsion systems for future de-carbonised, green aircraft and will support delivery of one of our new flagship EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells for airBORNe applications” project.
We are inviting talented students to join the team to develop a real-time digital twin of the fuel-cell electric propulsion system. The tasks of this PhD include:
1. Real-time digital twin technology review to understand this technology and its recent development for electrical engineering applications.
2. Real-time simulation platform skills development including Typhoon and SpeedGoat.
3. Development of a real-time digital twin (physical or Artificial Intelligent based) of the electric propulsion system including propulsion motors, power converters, fuel cell, and batteries, etc. within the real-time simulation platform.
4. Training the developed digital twin using real-time data from hardware available.
5. Electrical power level studies with the developed digital twin to identify viable solutions for distributed electric propulsion.
We are seeking exceptionally motivated and first-class students with a strong academic background in one or more of the following areas: Electrical and Electronic Engineering, Aerospace Engineering, Computer Science (with a focus on AI/ML or systems modelling) with good electrical engineering knowledge. A first-class honours degree or equivalent in a relevant discipline is required. A Master’s degree with distinction will be highly advantageous.
These posts are open to both UK and non-UK students. The studentship is available for a start date in October 2025 and will run for 3.5 years, subject to satisfactory progress.
Funding
This is a fully funded PhD studentship. Please contact Prof. Tao Yang (IET Fellow and Industrial Fellow of Royal Academy of Engineering) at tao.yang@nottingham.ac.uk for more information including funding opportunities (Full International Funding available for excellent students).
When applying for this studentship, please include the supervisor's name within the personal statement section of the application. This will help ensure your application is sent directly to the academic advertising the studentship.
The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.
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