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Posting Title Graduate (3-12 month) Intern - Machine Learning Applications to Power System Operations . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NREL
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for linear programming refinery integration and may require some interface with Python or Fortran. . Basic Qualifications Relevant PhD . Or, relevant Master's Degree and 3 or more years of experience
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qualifications: Experience with data analytics, big data management, scraping data off the web, high-performance/distributed computing, machine learning and/or deep learning. Knowledge with supply chain
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-based and image-based machine learning . Basic Qualifications 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
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renewable dynamic modeling or power market optimization. This will be a 3-month opportunity with the possibility to extend to 12-months. To learn more about the work this team does, please click here Power
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-the-loop experimentation Awareness of NFPA and other Code applied to physical installations Computer Aided Drawing experience Strong organizational skills and task discipline Desire to mentor and teach team
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issues that arise This internship will involve extensive time in a laboratory environment, and it is essential for the selected candidate to support a safe and efficient work environment To learn more
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or equivalent relevant education/experience in supply chain, management, business, contracts administration or similar field. Or, relevant PhD and equivalent relevant education/experience in supply chain
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relevant education/experience. Or, relevant PhD and 4 or more years of experience or equivalent relevant education/experience. Or, relevant JD and 4 or more years of experience or equivalent relevant
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relevant education/experience. Or, relevant Master's Degree and 7 or more years of experience or equivalent relevant education/experience. Or, relevant PhD and 4 or more years of experience or equivalent