Theoretical Physics Scientist - Power Systems Modeling

Hitachi Energy; Isle Forest (NC); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid leave

Flexible work

Job summary

Hitachi Energy in Raleigh, North Carolina, is seeking a Research Scientist focused on theoretical physics applications for power system simulation. You will develop numerical simulation approaches, create models, and collaborate across research, engineering, and business units to address grid challenges.

Working with external partners and publishing results, you will advance modeling techniques and optimization methods for large-scale power systems, contributing to energy transition and grid

Qualifications

• PhD in theoretical physics or related field; masters considered
• Work authorization to be employed in the United States
• Experience designing numerical simulation algorithms for large-scale systems
• Strong publication record
• Proficiency in English communication

Responsibilities

• Develop numerical simulation approaches for power system applications
• Collaborate with global researchers and engineers to build software and models
• Create prototypes and validate new simulation concepts
• Publish results and contribute to patents and technical reports
• Ensure compliance with external and internal regulations and guidelines

Skills

C/C++

Python

CUDA

Fortran

Numerical Methods

Optimization

Mathematical Modeling

English Communication

Education

PhD in Theoretical Physics / Mathematics / Engineering

PhD or Masters considered

Tools

Automatic Differentiation

Optimization Languages

Job description

Hitachi Energy in Raleigh, North Carolina, is seeking a Research Scientist focused on theoretical physics applications for power system simulation. You will develop numerical simulation approaches, create models, and collaborate across research, engineering, and business units to address grid challenges.

Working with external partners and publishing results, you will advance modeling techniques and optimization methods for large-scale power systems, contributing to energy transition and grid