Student Internship - AI Assisted Modeling of Energy Storage

About the role

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in the region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy. The Advanced Technology Solutions (ATS) department engages in long‑term research projects and near‑term design/process improvements, consisting of experts in power systems, simulations, and markets. In this hands‑on PhD internship you will apply machine learning and data analysis to improve how energy storage is modeled in power system studies, supporting a more reliable, flexible, and innovative electric grid.

Responsibilities

• Use state‑of‑the‑art AI and data science techniques to analyze historical storage behavior.
• Develop insights that support more accurate storage modeling in power system studies.
• Work on a real‑world challenge at the intersection of power systems, machine learning, and grid innovation.
• Help improve how storage resources are represented in power system models, supporting more accurate studies and better‑informed decisions as the grid evolves.
• Apply