Grid Modeling Researcher (Contract)

About the role

You see the power grid as an essential highway that drives our current and future energy needs. You’re familiar with the way the grid is evolving: from the addition of renewable generation and electric vehicles to the impact of changing weather patterns. You believe in the power of data to lead to new and exciting discoveries, and you want the opportunity for those discoveries to impact a global business.

Responsibilities

• Be a subject matter expert in the major US electricity markets for internal partners and stakeholders
• Develop experimental plans and perform methodical testing for new modeling approaches and inputs (e.g. nodal to zonal simplification, demand side modeling, etc.)
• Adjust energy system modeling to consider the impact of regulatory and market design evolution
• Industrial and scientifical scouting on electricity market system modeling and optimization
• Identification and collaboration with industry-leading research partners, both internally and externally
• Cookordination plans with internal R&D teams with similar goals
• Ensure proper follow-up with key stakeholders for project costs, milestones, and relevance of results

Requirements

• B.S. in Electrical Engineering, Materials Engineering, Power Systems, or related field of study
• 3+ years of experience in a field related to electricity power markets (design, analysis, optimization, etc.)
• Experience with data science and quantitative analysis
• Fluency in English

Preferred qualifications

• Experience in transmission and distribution power systems, grid innovation, and/or demand side forecasting
• Experience in translating macro trends in grid development (renewable generation, flexible demand side resources, electrification, etc.) into a quantitative impact (congestion, load curve, nodal pricing, etc.)
• Familiarity with grid modeling software
• Interest in on-going research and policy topics related to the US electrical grid
• Proficiency in French

Pay

The compensation for this position is determined on factors such as skills, experience, geographic location, and other market conditions.

Schedule

This position can be based remotely, in Houston, TX or additional locations.