Visiting Student– MCS – Wu,Lucas – 4.6.26

Argonne National Laboratory • Lemont, IL

2d

About The Position

This project develops new optimization methods for operating and planning power grids under uncertainty in demand, renewable generation, and equipment availability. We build models that combine grid physics with data-driven representations of uncertainty to make decisions that remain reliable across many possible future conditions. Our approach emphasizes not only cost efficiency but also risk management, with particular focus on rare but high-impact events such as cascading outages. The outcome is a computational framework for more resilient, efficient, and uncertainty-aware grid operations.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Currently enrolled in undergraduate or graduate studies at an accredited institution.
• Graduated from an accredited institution within the past 3 months; or
• Actively enrolled in a graduate program at an accredited institution.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees