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
