About the role
As an intern, you’ll work with Gridmatic’s research engineers on electricity market simulation, directly supporting SCUC/SCED development.
Responsibilities:
• Develop/maintain network security analysis (NSA) to produce reliability constraints across large-scale ISO systems
• Assist in building and validating SCUC/SCED models, with realistic transmission and contingency constraints.
• Help automate NSA for integration into market optimization workflows.
• Support data processing pipelines for network, generator, and market datasets across ISOs (ERCOT, PJM, CAISO, etc.)
• Experiment with machine learning approaches to accelerate dispatch or contingency evaluation.
• Document results, highlight performance gaps, and propose improvements
Qualifications:
• Enrolled in EE, or Energy Systems (MS or PhD student)
• Coursework in power system operations (unit commitment, economic dispatch, OPF)
• Familiarity with power flow and network modeling
• Solid programming skills in Python
• Comfort with optimization formulations (linear, MILP)
• Strong problem-solving skills and eagerness to learn real-world ISO practices
Bonus Skills:
• Experience with SCUC/SCED formulations in research or coursework
• Exposure to market data from ISOs (bids, constraints, outage/contingency reports)
• Familiarity with probabilistic or ML-based methods