Power Electronics Researcher – AI & Machine Learning

Rise Technical; Metropolitan Borough of Solihull; On-site; GBP 45,000 - 62,000; Full time

Job summary

Rise Technical is hiring a Power Electronics Researcher to apply AI/ML to the design and optimisation of next‑generation power electronic systems.

This role sits at the intersection of power electronics, AI and advanced system design, contributing to R&D projects across EVs, rail and renewable energy.

The ideal candidate will have a strong research background in power electronics and experience with AI, ML or data‑driven modelling, plus tools such as MATLAB, PLECS or Ansys.

Qualifications

• Strong research background in power electronics and converter technologies.
• Experience with AI, machine learning, data‑driven modelling or optimisation.
• Experience with simulation tools such as MATLAB, PLECS or Ansys.
• Final-year PhD candidates, recent PhD graduates, Postdoctoral Researchers and Research Fellows are encouraged to apply.

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

Skills

AI/ML in power electronics

Power electronics research

Data-driven modelling

Algorithm development

MATLAB

PLECS

Ansys

AC/DC converters

DC/DC converters

Education

PhD in Power Electronics

Tools

MATLAB

PLECS

Ansys

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?

This is an exciting opportunity to join an innovative engineering environment working at the intersection of power electronics, artificial intelligence and advanced system design. You will contribute to research and development projects focused on improving the design, simulation and optimisation of power electronic converter technologies, with applications across sectors including electric vehicles, rail and renewable energy.

The role would suit a final-year PhD student, recent PhD graduate, Postdoctoral Researcher or Research Fellow with relevant experience in power electronics with experience using AI in their work. You will work closely with experienced engineers and researchers, helping to translate academic research into practical engineering applications.

The ideal candidate will have a strong research background in power electronics, alongside experience using AI, machine learning or data-driven techniques within their research. This could include developing their own models, algorithms or tools to support power electronics design, rather than simply using AI tools such as ChatGPT as part of their research.

The Role:

• 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

The Person:

• Degree or PhD in Power Electronics, Electrical Engineering or a related field
• Strong research background in power electronics and converter technologies
• Experience with AC/DC, DC/DC or DC/AC converter systems
• Research experience involving AI, machine learning, data-driven modelling or optimisation
• Experience with simulation tools such as MATLAB, PLECS or Ansys
• Final-year PhD candidates, recent PhD graduates, Postdoctoral Researchers and Research Fellows are encouraged to apply