Energy Systems Research Engineer Intern

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