Energy Market Research & Engineering

The New York Independent System Operator (NYISO) applies cutting-edge technology to operating a reliable electricity system, managing competitive markets for wholesale electricity, and planning for the Empire State's energy future. The NYISO takes pride in recruiting, developing and retaining highly talented individuals. Our summer internship programs give young professionals the opportunity to gain a fundamental understanding of New York electricity markets, bulk electricity systems and how we plan for New York State’s energy future.

The NYISO is seeking a Research and Engineering Intern to support the development of quantitative metrics that measure differences between Physical Dispatch and Economic Dispatch solutions. These two market-clearing processes can produce differences between physically feasible generator dispatch instructions and the prices produced by the market.

Working with the Research and Engineering team, the intern will design and implement a reusable software tool that calculates and visualizes these differences across market scenarios. The resulting analysis will help the team evaluate the pricing and scheduling effects of proposed electricity market enhancements.

Responsibilities

• Develop quantitative metrics that measure and characterize differences between Physical Dispatch and Economic Dispatch solutions.
• Design and implement a reusable software tool for calculating the identified metrics.
• Create visualizations that communicate analytical results clearly.
• Evaluate dispatch differences across multiple market scenarios.
• Identify key drivers of observed pricing and dispatch outcomes.
• Apply power system optimization, economic dispatch, and data analytics concepts to market-clearing results.
• Test and validate the analytical approach and software tool.
• Document the methodology, software functionality, assumptions, and findings.
• Collaborate with engineers and researchers to refine requirements and incorporate feedback.
• Prepare written summaries and presentations describing the analysis and results.

Qualifications

• Currently pursuing a Master’s or doctoral degree in Electrical Engineering, Operations Research, Energy Economics, or a related discipline is preferred.
• Strong foundation in energy markets, unit commitment, economic dispatch modeling, or data analytics.
• Proficiency with programming or optimization tools such as Python, Gurobi, or MATLAB.
• Ability to develop quantitative metrics and interpret complex analytical results.
• Strong analytical and problem-solving skills.