Graduate Intern – Artificial Intelligence for Power System Operations

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🔥 5 minutes ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $51.2k - $81.9k / year

👨‍🎓 Internship

⚪️ Entry-level

🤖 Artificial Intelligence

👻 Ghost score 0%

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Advanced Energy Systems - Colorado School of Mines & NLR

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

📚 Education

⚡ Energy

🔬 Science

Education • Energy • Science

Advanced Energy Systems - Colorado School of Mines & NLR is an interdisciplinary graduate engineering program created through a partnership between the Colorado School of Mines and the National Laboratory of the Rockies (NLR). The program educates and trains master’s and doctoral researchers to address the technical, economic, and environmental challenges of modern energy infrastructure, emphasizing secure, resilient, and adaptive systems. Students collaborate with faculty and NLR researchers, use shared state-of-the-art facilities, work with industry, government, and nonprofit partners, and prepare for careers solving large-scale energy-system problems.

📋 Description

• Collaborate with internal and external stakeholders to advance research projects • Develop innovative AI/LLM solutions addressing emerging power system needs • Contribute to and/or lead the writing of research papers • Conduct research work independently • Support power system modernization, grid reliability, resilience, and security research with the Grid Automation and Controls group

🎯 Requirements

• Minimum cumulative GPA of 3.0 • Undergraduate candidates must be enrolled full-time in a bachelor’s degree program at an accredited institution • Post-undergraduate candidates must have earned a bachelor’s degree within the past 12 months • Graduate candidates must be enrolled full-time in a master’s degree program at an accredited institution • Post-graduate candidates must have earned a master’s degree within the past 12 months • Graduate + PhD candidates must have completed a master’s degree and be enrolled as a PhD student at an accredited institution • Must upload official or unofficial school transcripts • Letter of recommendation required if selected • Must meet educational requirements before employment start date • Completed an undergraduate degree and either be enrolled in or recently graduated from a master’s degree in computer science, data science, electrical engineering, or a related field, or be enrolled in a PhD program in these fields • Experience with natural language learning, large language models, foundation models, or transformer models • Fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems • Strong Python programming and comparable programming languages • Ability to conduct research independently • Must be able to obtain and maintain a federal Personal Identity Verification (PIV) card for internship assignments extending beyond six months • Must pass a pre-employment drug test • Must submit a cover letter and resume with the application

🏖️ Benefits

• Medical, dental, and vision insurance • 403(b) Employee Savings Plan with employer match • Sick leave where required by law • Performance-, merit-, and achievement-based awards that may include a monetary component, subject to eligibility • Relocation expense reimbursement may be available for some positions • Robust professional development opportunities • State-of-the-art facilities and multidisciplinary research teams