⏰ Full-time

Graduate PhD Student Intern (Summer) – Mathematical Optimization

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NREL

                    Location
                    📍 United States, United States
                

                    Posted
                    📅 June 16, 2026
                

                    Work Type
                    ⏰ Full-time
                

Position Overview

Description
The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational Science Center has an opening for a graduate student researcher in Mathematical Optimization for large-scale power systems planning. They will deploy developed optimization algorithms on DOE high-performance computing systems. The researcher will develop mathematically sound approaches for transmission and capacity expansion as applied to the bulk electricity systems to enhance economics, reliability, resilience, and security of bulk electric systems.
Responsibilities include:
Develop and implement mathematically sound approaches for transmission and capacity expansion using distributed optimization methods on NLR’s HPC
Collaborate with NLR researchers to assess tradeoffs between model detail and computational time
Process and visualize results to inform algorithmic design
Author, present and assist in the preparation of technical paper...
                

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Job Details

⏰

Employment Type

Full-time

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