National Laboratory of the Rockies · 2 months ago
Graduate Intern – Machine Learning - Solar Forecasting
Golden, CO
Internship
Hybrid
Intern
$50K/yr - $80K/yrNational Renewable Energy Laboratory (NREL) is the nation's primary laboratory for energy systems research and development. They are seeking a full-time graduate engineering intern to develop and implement AI algorithms for real-time solar forecasting, leveraging expertise in machine learning and statistics.
Clean EnergyCleanTechEnergyRenewable Energy
Responsibilities
Build best-in-class models for inverter-level and plant-level solar forecasting with calibrated uncertainty, using RNN, diffusion models, and graph models
Bring your algorithms to life for industry partners, making tangible improvements in solar forecasting
Manage our project GitHub repository for experiment tracking and code versioning, ensuring seamless collaboration with partners and code excellence
Present your groundbreaking results and key findings at workshops, conferences, and in high-quality journals, positioning yourself as a thought leader in the field
Qualification
Required
Minimum of a 3.0 cumulative grade point average
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution
Completed a Bachelor's degree and either have completed a master's degree or be enrolled in a masters or PhD degree in in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related analytical domain
Demonstrated knowledge and experience in Python and its related libraries, such as TensorFlow, Keras, and Pytorch
Demonstrated experience in time series forecasting, computer vision, and scenario generation
A comprehensive understanding of uncertainty quantification
Demonstrated experience documenting and presenting results in presentations, papers, and or publications
Preferred
Hands-on experience in energy related time series forecasting, such as participating in energy forecasting competitions
Experience in multi-modal machine learning
Knowledge about PV plants, PV inverters, and PV control
A track record of producing high quality research papers
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 include a monetary component
Relocation expense reimbursement
Company
National Laboratory of the Rockies
The U.S. Department of Energy's primary national laboratory for energy systems research and development.
Founded in 1977
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$166.09MKey Investors
US Department of EnergyARPA-E
2024-09-04Grant
2023-09-21Grant· $1M
2023-05-22Grant· $150M
Leadership Team
Clay Sumner
Deputy Chief Financial Officer
Jennifer L.
Chief Financial Officer
Recent News
2026-01-16
Clean Technica
2025-11-27
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