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Power Electronics Researcher – AI & Machine Learning

Rise Technical • United Kingdom
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Research role at the intersection of power electronics and AI/ML, focused on designing, simulating, and optimising next-generation power electronic converter systems for applications in electric vehicles, rail, and renewable energy. The successful candidate will develop AI-driven models, algorithms, and tools to translate academic research into practical engineering solutions. Requires a PhD or final-year PhD candidate with a strong research background in power electronics and hands-on experience applying AI, machine learning, or data-driven techniques to converter technologies.

Key Highlights
Apply AI and machine learning research to the design and optimisation of power electronic converter systems
Work across sectors including electric vehicles, rail, and renewable energy
Open to final-year PhD students, recent PhD graduates, Postdoctoral Researchers, and Research Fellows
Opportunity to translate academic research into practical engineering applications
Visa sponsorship available
Key Responsibilities
Research and develop AI/ML approaches for power electronics applications
Design, model and simulate power electronic converter systems
Investigate the use of AI and machine learning to optimise converter design and performance
Develop models, algorithms or tools to support the power electronics design process
Research emerging technologies and contribute to technical reports and research outputs
Support the transition of research concepts into practical engineering applications
Technical Skills Required
Power Electronics Artificial Intelligence / Machine Learning Simulation Tools (MATLAB, PLECS, Ansys)
Benefits & Perks
Healthcare
Progression opportunities
Visa sponsorship
Holiday
Life insurance
Excellent company benefits

Job Description

Power Electronics Researcher – AI & Machine Learning

£45,000-£62,000 + Healthcare + Progression + Sponsorship + Holiday + Life Insurance + Excellent Company Benefits

Are you a Power Electronics Researcher looking to apply your research into AI and machine learning to the design and optimisation of next-generation power electronic systems?

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