Researcher - Power System Modeling & Machine

1 week ago

SaintLaurent, Canada Hitachi Energy Canada INC. Full time

**Description**

**Responsibilities**:

- Propose, contribute to and lead research and development projects creating mathematical models and numerical simulations to analyze and design power systems for the energy transition.
- Collaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for our customers
- Propose and work on ideas and concepts of new approaches to creating, running and exploiting numerical simulations, turn them into prototypes and verify them
- Develop concepts for combining mathematical/physical models of power systems with emerging technologies such as mathematical optimization, Machine Learning and Artificial Intelligence.
- Take a multidisciplinary approach to numerical simulation of power systems, working with different simulation software tools and implementing novel simulation algorithms yourself
- Network in the company and actively distribute your knowledge and expertise
- Collaborate with local and global external partners including universities, open-source communities, startups and vendors

**Background**:

- Strong academic qualification with an internationally recognized degree at masters or doctorate level in Electrical Engineering with specialization in Electric Power Systems.
- Experience with designing and running numerical simulation algorithms for power systems and analyzing results is required.
- Practical knowledge of modeling and numerical simulation software e.g., PSCAD, PowerFactory, ATP, MATLAB/Simulink or similar is required.
- Experience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations highly beneficial.
- Programming experience (e.g. C#, C++, Java, Python)
- Experience that demonstrates your team-oriented, innovative, and strategic working styles
- Fluency in English, both written and spoken.
- Beneficial to have experience using High Performance Computing and algorithmic performance optimization for running large scale simulations

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