Graduate PhD Student Intern (Summer) – Mathematical Optimization

National Renewable Energy Laboratory(1 month ago)

Golden, COOnsiteFull TimeIntern$51,200 - $81,900Computational Science

About this role

A Graduate PhD Student Intern (Summer) in Mathematical Optimization at the National Laboratory of the Rockies (NLR) conducts research on optimization methods for large-scale power systems planning. The position is housed in the AI, Learning and Intelligent Systems (ALIS) Group within the NLR Computational Science Center and operates in a DOE high-performance computing environment. The role supports energy systems research focused on improving the economics, reliability, resilience, and security of bulk electric systems.

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Required Skills

Mathematical Optimization
Algebraic Modeling
Distributed Optimization
Pyomo
JuMP
Python
Julia
HPC
Data Visualization
Algorithm Implementation

+3 more

Qualifications

PhD Student Enrollment
Master's Degree
Bachelor's Degree
GPA 3.0+
PIV Card Eligibility
Favorable Background Investigation

About National Renewable Energy Laboratory

nrel.gov

NREL bridges research with real-world applications to advance energy technologies that lower costs, boost the economy, strengthen security, and ensure abundant energy.

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