Graduate (Summer) Internship - Dynamic Observability & State Estimation for Large-Scale Distribution Grids

National Renewable Energy Laboratory • Golden, CO

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About The Position

The Power Systems Engineering Center (PSEC) at The National Laboratory of the Rockies (NLR) focuses on advancing research in dynamic analysis of large-scale distribution grids, with particular emphasis on dynamic observability, controllability, and state estimation. We develop next-generation analytical frameworks and software tools to enhance situational awareness, adaptive control, and resilient operation of modern distribution systems with high penetration of distributed energy resources (DERs). The Grid Automation and Control (GAC) group is seeking a graduate-level intern with a strong background in dynamic state estimation and distribution system modeling. The ideal candidate should have solid knowledge of dynamic system modeling, observability and controllability theory, and estimation techniques applied to active distribution networks. This will be a 3-month opportunity and possible extension based on performance. The preferred candidate will contribute to: Developing and validating dynamic observability and controllability metrics for large-scale, unbalanced distribution networks. Designing and implementing advanced dynamic state estimation algorithms (EKF, UKF, MHE, WLS-based methods) for measurement-constrained distribution systems. Modeling and integrating inverter-based resources, flexible loads, and grid control devices to evaluate dynamic performance and stability. Quantifying and improving estimation accuracy and grid controllability under sensor limitations, uncertainty, communication delays, and cyber-physical disturbances.

Requirements

• 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.
• Please Note: • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. • If selected for position, a letter of recommendation will be required as part of the hiring process. • Must meet educational requirements prior to employment start date. Must meet educational requirements prior to employment start date.
• Experience with power system OpenDSS, EMT software tools such as PSCAD, MATLAB/Simulink.
• Solid knowledge on power system dynamic modeling, power system stability and control.
• Demonstrated experience in optimization modeling, including proficiency with a programming language such as Python.
• Ability to present technical results to multi-stakeholder audiences.

Responsibilities

• Developing and validating dynamic observability and controllability metrics for large-scale, unbalanced distribution networks.
• Designing and implementing advanced dynamic state estimation algorithms (EKF, UKF, MHE, WLS-based methods) for measurement-constrained distribution systems.
• Modeling and integrating inverter-based resources, flexible loads, and grid control devices to evaluate dynamic performance and stability.
• Quantifying and improving estimation accuracy and grid controllability under sensor limitations, uncertainty, communication delays, and cyber-physical disturbances.

Benefits

• Benefits include medical, dental, and vision insurance
• 403(b) Employee Savings Plan with employer match
• sick leave (where required by law)
• NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component.
• Some positions may be eligible for relocation expense reimbursement.

What This Job Offers

• Career Level: Intern