Energy Systems Research Engineer

• Develop and implement advanced optimization models for Security-Constrained Unit Commitment (SCUC), Security-Constrained Economic Dispatch (SCED), and other electricity market clearing processes.
• Model electricity market behavior from the participant perspective (generation, storage, demand response), including bidding strategies, forecasting, and risk exposure.
• Simulate market outcomes under various conditions, including congestion, renewable variability, storage operations, and policy changes.
• Develop tools for network modeling, power flow analysis, and contingency analysis.
• Work closely with engineers to productionize models, ensuring scalability and reliability.

• MS or PhD in Electrical Engineering, Power Systems, Operations Research, or a related field.
• Strong background in optimization (mixed integer, stochastic, robust, convex) with applications to SCUC/SCED or other electricity market problems.
• Familiarity with AI techniques in energy markets.
• Solid understanding of ISO/RTO market rules and participant behavior.
• Proficiency in Python and experience handling large datasets.

• Experience with production cost modeling tools, HPC/cloud computing, or power system simulators.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.