Graduate (Summer) Intern - Grid Optimization… at National… · Remote

Summary: National Laboratory of the Rockies (NLR) is the nation's primary laboratory for energy systems research and development. They are seeking a Graduate (Summer) Intern to contribute to developing scalable learning-based optimization methods for next-generation grid operations, focusing on Mixed-Integer Nonlinear Programming (MINLP) problems in Unit Commitment. Responsibilities: - Assist in formulating Unit Commitment problems as MILP and MINLP models - Implement optimization models in Python (e.g., Pyomo, JuMP, or similar tools) - Develop and test Learning-to-Optimize (L2O) algorithms for accelerating large-scale optimization - Perform computational experiments on benchmark power system datasets - Participate in weekly research meetings and present progress updates Required Qualifications: - Minimum of a 3.0 cumulative grade point average - Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution - Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution - Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year - Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution - Strong Math Background: Strong background in linear algebra, optimization, and basic probability - Basic understanding of power systems or energy systems - Interest in machine learning and large-scale computational methods - Programming & Simulation Skills: Python (NumPy, SciPy) - Familiarity with optimization solvers (e.g., Gurobi, CPLEX, IPOPT, or similar) is preferred - Familiarity with NeuroMANCER library - Experience developing and test Learning-to-Optimize (L2O) algorithms for large-scale optimization Required Skills: Mixed-Integer Nonlinear Programming, Machine Learning, Optimization Important Skills: Python, Linear Algebra, Power Systems Nice-to-Have Skills: Team Collaboration, Problem Solving, Communication Skills Benefits: Medical, dental, and vision insurance, 403(b) Employee Savings Plan with employer match, Sick leave (where required by law)