This is a remote position.
We are seeking a Power System Applications Engineer to join our team. You ll work closely with our Quantitative Researchers to design and deploy power market simulations and transmission scenarios which inform our strategy development. You will help extend our research platform with modeling capabilities that form the basis of our fundamental market analysis and apply those capabilities to our research and development workflows.
Requirements
- You have a masters degree in Electrical Engineering plus 4 years of experience in the electric power industry or a PhD in Electrical Engineering with a focus on power systems engineering.
- You have experience with power system modeling tools such as Dayzer Tranzer PowerWorld PSS/E Plexos or open source alternatives like PyPSA.
- You have experience with power load and renewable power generation forecasting.
- You are comfortable reading and writing Python code and have experience with collaborative software development.
- You are knowledgeable about optimal power flow modeling security constrained economic dispatch (SCED) algorithms contingency analysis and transmission shift and loss factors.
- You have familiarity with modeling energy resources and storage as well as US power markets.
- Knowledge or familiarity with optimization techniques such as convex stochastic and robust optimization and linear and convex programming is a plus.
- You are a lifelong learner and empathetic teacher. We re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know thats how well deliver quality results.
Benefits
- Work Location: Remote
- 5 days working
You have a master's degree in Electrical Engineering plus 4+ years of experience in the electric power industry or a PhD in Electrical Engineering with a focus on power systems engineering. You have experience with power system modeling tools such as Dayzer, Tranzer, PowerWorld, PSS/E, Plexos, or open source alternatives like PyPSA. You have experience with power load and renewable power generation forecasting. You are comfortable reading and writing Python code and have experience with collaborative software development. You are knowledgeable about optimal power flow modeling, security constrained economic dispatch (SCED) algorithms, contingency analysis, and transmission shift and loss factors. You have familiarity with modeling energy resources and storage as well as US power markets. Knowledge or familiarity with optimization techniques such as convex, stochastic, and robust optimization and linear and convex programming is a plus. You are a lifelong learner and empathetic teacher. We re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results.
Education
Bachelor's degree