Posting Title
Graduate Internship - Power Grid Operation & Optimization (3-12 months) .
Location
CO - Golden .
Position Type
Intern (Fixed Term) .
Hours Per Week
40 .
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job Description
The Grid Automation and Controls Group of the Power Systems and Engineering Center (PSEC) at NLR is looking for an exceptional Graduate or Ph.D. Graduate student to support research in power grid operation and optimization.
We are looking for a student intern who has a solid background in power system modeling, operation, and optimization. The ideal candidate is expected to have strong experience in understanding power system operations and energy management topics, and developing optimization models and/or data-driven controls that are related to at least one of the following topics:
Developing energy management strategies related to ADMS, DERMS, microgrid controls, home energy management systems
Developing optimization schemes or data-driven controls for grid reliability and resilience
Developing grid automation and control schemes
The ideal candidate is also expected to have a proven record of publishing research work in prestigious journals.
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Basic 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.
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.
Additional Required Qualifications
Relevant Master or Ph.D. candidate in Electrical Engineering or Computer Science or related fields.
Experience in power system modeling, optimization, and control
Experience in at least one of the power system software tools including OpenDSS, PSCAD, PSS/E
Experience in at least one of the optimization solvers and platforms such as CPLEX, CVXPY, Pyomo, GAMS
Proficiency in Matlab or Python programming
Preferred Qualifications
Familiar with demand response, virtual power plant, DER management
Familiar with grid resilience
Familiar with optimization solvers and packages (e.g., GAMS, Gurobi, CPLEX)
Proficiency in programming
R&D work…