Area Engineering
Location UK Other
Closing Date Thursday 23 April 2026
Reference ENG303
Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty of Engineering which conducts cutting edge research using the Digital Twin Technology to accelerate electric propulsion system development. Applications are invited for the above research studentship 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 2500m 2 of research space and a construction and testing capability up to 5MW
Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development.
Motivation The transition to net-zero aviation has emerged as a critical objective in the global effort to mitigate climate change, with the aviation sector currently accounting for approximately 2–3% of global CO₂ emissions. As traditional jet engines approach the limits of their efficiency improvements, electric propulsion has gained significant attention as a transformative solution for reducing greenhouse gas emissions in air transportation. Electric propulsion systems—ranging from hybrid-electric to fully electric architectures—offer the potential for substantial environmental benefits, including lower emissions, reduced noise, and improved energy efficiency. This PhD research is to develop a digital-twin toolset to accelerate net-zero aviation progress.
Aim Tasks of this PhD include
* Real-time digital twin technology review to understand this technology and its recent development for electrical engineering application.
* Real-time simulation platform skills development including Typhoon and SpeedGoat.
* Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation platform.
* Training the development digital-twin using real-time data from hardware available
* Electrical power level studies with developed digital twin to identify visible solutions for distribution electric propulsion.
Who We Are Looking For We are looking for enthusiastic, self-motivated applicants with first-class degree in Electrical Engineering, Control Engineering or Computer Science with good electrical engineering knowledge.
Funding support and Further Information Please discuss with Prof. Tao Yang Tao.Yang@nottingham.ac.uk for more details.
#J-18808-Ljbffr