AI-Driven Power Electronics Scientist for Grid Innovation

Hitachi ABB Power Grids

Dättwil

On-site

CHF 120,000 - 160,000

Full time

14 days+

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Job summary

Hitachi Energy in Baden, Switzerland, seeks a research scientist specialized in AI-driven power electronics. You will drive interdisciplinary innovation, applying AI/ML to power electronics challenges across HVDC, energy storage, and renewables.

You will collaborate with global researchers and engineers, publish results, and contribute to a sustainable energy future. Fluency in English and a PhD in a relevant field are required.

Qualifications

  • PhD in Electrical Engineering or PhD in Computer Science with relevant focus.
  • Proven expertise in AI/ML, with solid understanding of algorithms and frameworks.
  • Ability to apply AI/ML to engineering problems in power electronics.
  • Experience in power electronics design and modeling; related integration topics are a plus.
  • Excellent communication skills in English.

Responsibilities

  • Innovate by transforming power electronics modeling, design, and optimization with AI/ML.
  • Investigate multi-physics modelling and optimization for power electronic systems to create advanced tools.
  • Take initiative by collaborating across global teams to identify and solve industrial challenges.
  • Collaborate with universities, vendors, and internal partners to share knowledge and advance projects.
  • Disseminate results through publications, patents, and technical reports.

Skills

AI/ML
Power electronics
Research experience
English communication

Education

PhD in Electrical Engineering
PhD in Computer Science

Tools

Python
TensorFlow/PyTorch

Job description

Hitachi Energy in Baden, Switzerland, seeks a research scientist specialized in AI-driven power electronics. You will drive interdisciplinary innovation, applying AI/ML to power electronics challenges across HVDC, energy storage, and renewables.

You will collaborate with global researchers and engineers, publish results, and contribute to a sustainable energy future. Fluency in English and a PhD in a relevant field are required.

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