Student Internship - AI Assisted Modeling of Energy Storage

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. Internship Title

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AI-assisted Modeling of Storage Department

– Advanced Technology Solutions Minimum Education level

: PhD Preferred Majors

: Power System Engineering or Electrical Engineering Use AI to help power the future of New England. Join ISO New England for a hands-on PhD internship where you’ll apply machine learning and data analysis to improve how energy storage is modeled in power system studies—work that supports a more reliable, flexible, and innovative electric grid. Who We Are ISO New England is one of the most pivotal energy companies you’ve probably never heard of. Our job is to oversee the 24/7 operation of the power grid that covers the six-states of New England and to administer the region’s $10+ billion “stock exchange” for buying and selling of wholesale electricity. Our work ensures that over 14 million people can reliably turn their lights on and complete their jobs, take care of their families, and live in comfort with convenience. 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 Energy storage is becoming increasingly important to modern grid planning and operations. In this internship, you’ll use state-of-the-art AI and data science techniques to analyze historical storage behavior and develop insights that can support more accurate storage modeling in power system studies. You’ll work on a real-world challenge at the intersection of power systems, machine learning, and grid innovation—building practical experience while contributing to research that matters. How You’ll Make an Impact Your work will help improve how storage resources are represented in power system models, supporting more accurate studies and better-informed decisions as the grid evolves. By applying AI-assisted analysis to real operational data, you’ll help ISO New England explore new ways to understand storage operations, enhance modeling practices, and support reliable electricity for millions of people across the region. What We Look for in a Candidate Background in power systems, operations research, machine learning, electrical engineering, or a related field. Experience with Python and packages such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow. Ability to work with large datasets and translate analysis into clear technical findings. Curiosity, problem-solving skills, and an interest in using AI to solve real-world energy challenges. This employer

will

not

sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.). The expected hourly range for this position is $19-$36 per hour, depending on your year in college. Interns are eligible for some paid time off benefits and have access to our wellness program. Our internships also provide interns with exposure to the energy industry, mentorships, and real-world experience. This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required. 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. Drug Free Environment

: We maintain a drug-free workplace and perform pre-employment substance abuse testing.