Graduate Intern – Artificial Intelligence for Power System Operations

Advanced Energy Systems - Colorado School of Mines & NLR

. Collaborate with internal and external stakeholders to advance research projects .

Posted 10/14/2026internshipRemote • Colorado • United StatesEntry Level💰 $51,200 - $81,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing AI and LLM solutions for power systems, with strong capabilities in conducting independent research and collaborating with stakeholders. Proficient in Python programming and knowledgeable in neural networks and advanced learning algorithms.

Highest-signal resume keywords

AI/LLM Solutions DevelopmentIndependent Research ConductPython ProgrammingNeural Networks KnowledgeStakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingNatural Language LearningLarge Language ModelsFoundation ModelsTransformer ModelsNeural NetworksLearning AlgorithmsResearch Paper WritingComplex Systems ApplicationsGrid Reliability

Soft Skills

CollaborationIndependent Work

Certifications & Qualifications

Personal Identity Verification (PIV) Card

Industry Keywords

Power System ModernizationGrid SecurityGrid ResilienceGrid AutomationElectrical EngineeringData ScienceComputer Science

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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