Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations

National Renewable Energy Laboratory; Golden (CO); On-site; USD 27,552 - 41,328; Full time

Benefits offered by this job

Medical, dental, and vision insurance

403(b) Employee Savings Plan

Sick leave

Job summary

The National Renewable Energy Laboratory is seeking a Graduate Intern for a 3–12 month position focused on developing AI and ML solutions for advanced power systems operations. The role requires collaboration on research projects, innovation in AI solutions, and research paper contributions.

The ideal candidate will be a master's student or recent graduate with strong programming skills in Python, knowledge of neural networks, and a passion for learning new technologies. Benefits include insurance and an employee savings plan.

Qualifications

• Minimum cumulative GPA of 3.0.
• Undergraduate or recent graduate within 12 months.
• Graduate students or recent graduates eligible, including PhD candidates.

Responsibilities

• Collaborate on research projects.
• Develop AI/ML solutions for power systems.
• Lead writing of research papers.
• Conduct independent research.

Skills

Python programming

Natural language processing

Machine learning techniques

Neural networks

Reinforcement learning

Education

Bachelor's degree

Master's degree in computer science or related

Tools

JavaScript

SQL

MongoDB

Job description

Posting Title

Graduate (3–12 month) Intern – Artificial Intelligence for Power System Operations (Location: Golden, CO)

Overview

The Grid Automation and Controls group at the National Laboratory of the Rockies (NLR) conducts high‑impact projects to modernize power systems by developing AI/ML solutions that improve reliability, resilience, and security.

Responsibilities

• 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.

Minimum Qualifications

• Minimum cumulative GPA of 3.0.
• Undergraduate: Full‑time bachelor’s student or recent graduate within 12 months.
• Graduate: Full‑time master’s student or recent master’s graduate within 12 months; PhD candidate eligible.
• Applicants must upload official or unofficial transcripts and may be required to provide a letter of recommendation.

Additional Required Qualifications

• Completed an undergraduate degree and either enrolled in or recently graduated from a master’s in computer science, data science, electrical engineering or related fields, or a PhD program.
• Experience with natural language learning, large language models, foundation models, or transformer models.
• Strong knowledge of neural networks, state‑of‑the‑art learning algorithms, and their application to complex systems.
• Strong Python programming skills and proficiency in other comparable languages.
• Self‑motivated and passionate about learning new techniques.

Preferred Qualifications

• Experience with reinforcement learning, graph neural networks, or other ML/AI techniques.
• Experience using high‑performance computing and Linux systems.
• Experience with JavaScript, SQL, MongoDB, and developing interactive web‑based dashboards and tools.
• Familiarity with power systems and basics of power flow.

Application Window

Application submissions accepted for up to 30 days, with possible extension.

Benefits

Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match; sick leave (where required by law). Internships less than 20 hours per week are not eligible for medical, dental, or vision benefits.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other status protected by federal, state, or local laws. Reasonable accommodations will be provided.