Power Electronics Researcher: AI/ML for Next‑Gen Converters

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

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.