Hitachi
Research Scientist - AI for Power Electronics
Raleigh, North Carolina, United States · On-site · Full-time · Posted May 19, 2026
- Education
- Ph.D. degree in Electrical Engineering with a focus on power electronics, energy conversion, or a closely related field, with educational background spanning both Power Electronics and Computer Science/AI.
- Visa sponsorship
- Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
About the job
Conduct applied research and develop AI-enabled software tools to automate, optimize, and validate power electronics design for energy systems.
What you'll do
- Develop and validate AI methods and software tools for power electronics design automation, performance prediction, design-space exploration, and system optimization.
- Support component selection, reliability assessment, and scalability improvements; translate engineering challenges into practical software solutions.
- Collaborate with research and industry partners, and share findings through publications, technical reports, and patent applications.
What they ask for
- Ph.D. in Electrical Engineering focused on power electronics, energy conversion, or a closely related field, with education spanning Power Electronics and Computer Science/AI.
- Experience in power electronics design, modeling, hardware systems, and simulation/verification.
- Hands-on experience applying AI techniques to engineering problems; proficiency in Python or similar and familiarity with machine learning frameworks.
- Research publications in recognized journals or conferences, effective English communication, and existing U.S. work authorization permitting employment at Hitachi Energy.
Nice to have
- Familiarity with Matlab, Simulink, PSCAD, and PLECS.
- Familiarity with hardware design workflows and controller design techniques.
Tools
Python, PyTorch, TensorFlow, Matlab, Simulink, PSCAD, PLECS
AI focus
Apply AI, optimization algorithms, and data-driven methods to automate power electronics design and improve design-space exploration, performance prediction, and system optimization.
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