National Renewable Energy Laboratory
National Renewable Energy Laboratory is a national laboratory of the U. S. Department of Energy, focused on transforming energy through research, development, commercialization, and deployment of renewable energy and energy efficiency technologies. NREL partners with organizations to accelerate the transition of these technologies to the marketplace. The laboratory covers a range of research areas, including bioenergy, geothermal, hydrogen, solar, transportation, wind, and water. It provides data sets, maps, models, and tools for energy analysis and offers research positions in various fields related to renewable energy. NREL is committed to economic impact, sustainability, diversity, and community collaboration.
Renewable Energy • Energy Efficiency • Research and Development • Basic Science • Solar
Graduate Intern - Sensor Placement and Data Analytics
January 3
National Renewable Energy Laboratory
National Renewable Energy Laboratory is a national laboratory of the U. S. Department of Energy, focused on transforming energy through research, development, commercialization, and deployment of renewable energy and energy efficiency technologies. NREL partners with organizations to accelerate the transition of these technologies to the marketplace. The laboratory covers a range of research areas, including bioenergy, geothermal, hydrogen, solar, transportation, wind, and water. It provides data sets, maps, models, and tools for energy analysis and offers research positions in various fields related to renewable energy. NREL is committed to economic impact, sustainability, diversity, and community collaboration.
Renewable Energy • Energy Efficiency • Research and Development • Basic Science • Solar
📋 Description
• Graduate intern developing sensor placement and optimization software tools for distribution power systems. • Perform observability and controllability analysis of distribution grid models. • Validate both centralized and distributed state estimation algorithms. • Simulate distribution grid models with distributed energy resources (DERs).
🎯 Requirements
• Minimum of a 3.0 cumulative grade point average. • Applicants are responsible for uploading official or unofficial school transcripts. • If selected for position, a letter of recommendation will be required. • Must meet educational requirements prior to employment start date. • The successful candidate must have completed bachelor’s degree and either be enrolled in or have recently completed a master's degree, or be currently enrolled in doctorate degree program in electrical engineering, computer engineering, or other relevant engineering fields. • Experience in sensor placement algorithms, observability and controllability analysis in electric power distribution systems. • Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems. • Demonstrated experience in programming languages such as Python and MATLAB. • Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.
🏖️ Benefits
• Benefits include 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. • Some positions may be eligible for relocation expense reimbursement.
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