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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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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 PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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to announce an exciting opportunity for a full-time Ph.D. intern with experience in machine learning, generative AI, foundation model, large language model, power system optimization, graphic neural network
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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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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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, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC
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methods like API integration, prompt engineering, or fine-tuning. Experience with common machine learning libraries and platforms (e.g., PyTorch, TensorFlow, Hugging Face). Familiarity with offensive
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engineering, or related field, and be pursuing or graduated from a master's degree, or currently enrolled in a PhD program in these fields Demonstrated knowledge and experience with power electronics, machine
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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