University of Nottingham
Job title:
PhD Studentship: High Performance AC Drives for Next Generation Automotives (ENG202)
Company
University of Nottingham
Job description
PhD Studentship: High Performance AC Drives for Next Generation AutomotivesArea
EngineeringLocation
UK OtherClosing Date
Tuesday 06 August 2024Reference
ENG202Supervisors: Dr Tabish Mir, Prof. Chris Gerada, Prof. Michele Degano, Dr Tianjie ZhouDesign and Control of Motor Drives for High Performance Automotive ApplicationsBackground: The future of e-mobility will see technologies competing in cost, power density and efficiency. These features can be achieved through new approaches in the design of electric motors which will need to be augmented through innovations in the design and control power converters driving these motors. As means of providing a holistic automotive solution, this PhD studentship will be based on the design of power converters to support and enhance the performance of next generation motor designs for e-mobility. The successful candidate will design a prototype and develop control algorithms for high performance motor drive applications, focussing on wide bandgap semi-conductor technology for high power density and advanced motor control algorithms for enhanced torque quality and increased efficiency. Through this PhD studentship, the student will gain insights in simulation and prototyping of motor drive systems, which are enabling technologies for transport decarbonization.Applications for this PhD position are invited at the Power Electronics and Machines Centre, University of Nottingham. Based in a recently built £18M facility at Jubilee Campus, the Power Electronics, Machines and Control (PEMC) Research Group is globally renowned and one of the leading in its field.Entry Requirements: For this position, we are actively looking for candidates with
- A first-class undergraduate degree in Electrical and/or Electronics Engineering.
- A master’s degree in electrical engineering (particularly power electronics and/or electric drives) is desirable.
- Knowledge of simulation platforms like Matlab Simulink/PLECS.
- Coding and hardware skills are desirable.
- Strong analytical/mathematical skills.
- Passion for research and willingness to learn.
- Good presentation/communication and writing skills.
Application details: To apply for this PhD position, please email the following documents to [email protected]
- Cover letter outlining your motivation behind applying for this project.
- Curriculum vitae (CV) detailing your academic background, research experience, and relevant skills.
- Academic transcripts of your qualifying degrees.
Shortlisted candidates will be invited for an interview, and the successful candidate will be required to make a formal online application through the University portal.For informal enquiries, please contact Dr. Tabish Mir ([email protected]) We look forward to hearing from you.
Expected salary
Location
Nottingham
Job date
Wed, 24 Jul 2024 22:19:56 GMT
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