83 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at National Renewable Energy Laboratory NREL
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years. This position will work primarily on a Center for Bioenergy Innovation (CBI) project, in which we are developing new approaches to cost-effectively convert biomass into realistic biofuels. https
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural
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Laboratory of the Rockies (NLR) is seeking is seeking a motivated and detail-oriented post-undergraduate intern for a 9-month, full-time position. To learn more about our research click here: https
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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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understanding of power semiconductor module selection and characterization. Preferred Qualifications Background in databases, electrical-engineering-oriented machine learning, and fault diagnostics of electric
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modeling, exploratory data analysis, machine learning workflows, and reproducible research methods that enable scientific insight and decision‑support for energy systems analysis.. The Data Engineering team
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sensor placement and communication design Develop and train machine learning model to estimate and forecast grid edge conditions Support grid applications such as DER aggregation and voltage control
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Learning Opportunities Gain hands-on experience with utility-grade EMT and RMS modeling tools used in industry and research Learn how data centers impact grid stability and how to model their interactions
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comprehensive hazard-based training programs for Laboratory personnel, translating regulatory directives into impactful learning experiences that support operational resilience and safety culture. Coordinate and
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-native, microservice-based systems that apply machine learning and advanced analytics to real network data, contributing to next-generation autonomous networks. Key Responsibilities Design and implement