Hitachi
Direct Workday career site

Research Scientist - Power Systems Optimization

Location
Raleigh, NC
Listed
2 days ago

About the role

  • Location: Raleigh, North Carolina, United States
  • Job ID: R0150404
  • Date Posted: 2026-11-04
  • Company Name: HITACHI ENERGY USA INC
  • Profession (Job Category): Engineering & Science
  • Job Schedule: Full time
  • Remote: No

The Opportunity

As a Research Scientist focused on power systems control and optimization, you will propose, contribute to, and lead research and development projects in power and energy systems. You will work with global teams to address real-world challenges, develop novel concepts for next-generation power systems, and contribute to research activities that advance power system operation, modeling, and optimization.

The role includes collaboration with internal teams and external partners, including universities, startups, and vendors, as well as sharing technical knowledge across the organization.

You will communicate research outcomes through scientific publications, patent applications, and technical reports, supporting innovation and the continued advancement of technologies related to power system reliability, operation, and future grid applications.

How You'll Make an Impact

  • Propose, contribute to, and lead R&D projects in power and energy systems.
  • Collaborate with global teams to identify and solve real-world customer challenges.
  • Develop novel ideas and concepts for next-generation power systems.
  • Share technical knowledge across the organization and build internal networks.
  • Collaborate with external partners, including universities, startups, and vendors.
  • Communicate research outcomes through scientific publications.
  • Prepare patent applications and technical reports to document research results.
  • Support research activities related to power systems control and optimization.
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

Your Background

  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
  • Ph.D. degree in Electrical Engineering or ISE/Operations Research with a power system application focus.
  • Experience with power system operation concepts and related challenges.
  • Experience with power system modeling, AC and DC grids, including DER and IBR modeling.
  • Knowledge of market-based system operation and constrained optimization methods, including LP, MIP, NLP, and NLMIP.
  • Fluency in common programming languages such as Python, C++, or Matlab.
  • Fluency in English, both written and spoken.

More About Us

You will have opportunities to expand your technical knowledge through collaboration with global research teams and external partners.

  • Work on innovative energy technologies and next-generation power system concepts.
  • Collaborate with experienced professionals across global research and development teams.
  • Access learning and development opportunities through research projects and knowledge-sharing activities.
  • Health and retirement benefits are available.
  • Paid leave and flexibility programs are available.
Read the original posting

From Hitachi's careers page, first listed on Rolev.ai on November 7, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Research Scientist - Power Systems Optimization job at Hitachi located?

This Research Scientist - Power Systems Optimization position at Hitachi is located in Raleigh, NC. Always check Hitachi's application page for specific state eligibility or relocation policies.

How do I apply for the Research Scientist - Power Systems Optimization position at Hitachi?

This listing links directly to Hitachi's Workday application page. You can apply directly on Hitachi's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.