Student Internship - How Agent Harness and Loop Engineering Helps Grid Planning

Who We Are

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy.

Department Description

The Advanced Technology Solutions (ATS) department engages in both long-term research projects and near-term design/process improvements. The department consists of experts in three topic areas: power systems, simulations, and markets. In all projects, the goal of the department is to provide innovative and practical solutions to current and emerging questions for ISO New England.

What You’ll be Working On

This internship explores how AI agent harness and loop engineering frameworks can support the future of transmission grid planning. You’ll investigate how agent-based workflows could automate repetitive planning tasks, run recursive simulation testing, evaluate many scenarios in parallel, and manage large, stateful grid datasets—helping planners make faster, better-informed network expansion decisions.

How You’ll Make an Impact

Your work will help ISO New England evaluate whether AI agent frameworks can accelerate transmission planning workflows, reduce manual analysis effort, improve scenario evaluation scalability, and support smarter planning decisions as the grid becomes more complex through electrification, clean energy integration, and changing demand patterns.

What We Look for in a Candidate

• A curious, analytical student pursuing a degree in electrical engineering, computer science, power systems, artificial intelligence, data science, or a related field.
• Experience with Python is required.
• Familiarity with PSS®E or PowerWorld is preferred.
• Exposure to AI agent frameworks such as LangChain, LangGraph, Strands, CrewAI, or AutoGen, as well as experience working with large datasets, is a plus.
• Strong problem-solving skills, clear communication, and an interest in applying emerging technology to real-world grid challenges will help you succeed.

Equal Opportunity

We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.