Renewable Energy • Energy Efficiency • Research and Development • Basic Science • Solar
3 days ago
🇺🇸 United States – Remote
⛰️ Colorado – Remote
💵 $43.7k - $69.9k / year
👨🎓 Internship
⚪️ Entry-level
📉 Data Analyst
Renewable Energy • Energy Efficiency • Research and Development • Basic Science • Solar
• 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).
• 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 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.
Apply NowDecember 6, 2024
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🇺🇸 United States – Remote
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👨🎓 Internship
⚪️ Entry-level
📉 Data Analyst
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