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to solve a variety of research and big data problems. Strong candidates will have many of the following expertise: Prior experience in the energy sector or a research environment is a plus. Experience and
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. This project explores a new paradigm: Learning to Optimize for large-scale Mixed-Integer Nonlinear Programming (MINLP) problems in Unit Commitment. By combining machine learning with structured optimization
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Posting Title Graduate (Summer) Internship - Dynamic Observability & State Estimation for Large-Scale Distribution Grids . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week
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commercial tools (e.g., PSSE, PSLF, PSCAD) or open-source tools (e.g., ParaEMT, ANDES and others). Develop new type of electrical components (such as advanced pumped storage hydro, data center, etc.) for large
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to support large scale electric system capacity expansion. The developed data sets, data specifications, and tools will help inform future planning, policy and infrastructure development. Develop
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of large-scale systems. The ideal candidate will have a strong foundation in operations research, control theory or power systems and a passion for applying these skills to real-world energy problems
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Posting Title Graduate (Summer Intern) – Large-scale Power System Modeling, Simulation and Analysis . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR
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Posting Title Graduate (Summer) Intern – Modeling, Small/Large-Signal Stability Analysis, and Control of Grid-Connected Power Electronics Converters for Inverter-based Resources-Driven Power Systems
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large-scale, high-fidelity cybersecurity experiments and modeling. We are seeking a technically strong and research-focused professional to contribute to cyber adversarial science, threat emulation, and
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by the explosive growth of large data centers. The successful candidate will contribute to advanced projects on data center electrical modeling, EMT/phasor simulation, and stability analysis. We