Student Internship - Probabilistic Operation Planning Studies

Minimum Education level:
PhD

Preferred Majors:
Power System Engineering

Help solve one of the toughest challenges in a changing electric grid. Join ISO New England for a hands‑on PhD internship where you’ll use optimization, probability, statistics, and power system modeling to improve how operators plan for uncertainty from renewable energy and changing electricity demand.

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.

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.

You’ll model and solve optimal generation scheduling problems under high renewable and load uncertainty. Because traditional optimization methods can face major computational bottlenecks, you’ll develop innovative strategies that help meet strict operational performance requirements in a real‑world grid environment.

Working alongside subject matter experts and power system operators, you’ll gain hands‑on experience in an industrial setting while learning how advanced analytics, optimization, and probabilistic methods support practical power system operations.

Your work will help ISO New England explore new approaches for solving optimization problems that involve probabilistic operating scenarios. By creating proofs of concept and software prototypes, you’ll contribute to future‑ready tools that can support faster, more reliable operating decisions as the grid integrates more renewable resources and faces increasingly complex uncertainty.

• Currently pursuing a graduate degree, with PhD candidates preferred, in electrical engineering, power system engineering, or a related field.
• Strong foundation in power system analysis, optimization techniques, probability, and statistics.
• Proficiency with Python, Gurobi optimization solver, and Power World simulation software.
• Curiosity, strong problem‑solving skills, and interest in applying advanced analytics to real‑world grid operations.

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.).

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