22 cloud-computing-"https:" "https:" "https:" research jobs at National Renewable Energy Laboratory NREL
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engineers with outstanding talent and credentials in renewable energy research and related disciplines. Candidates are selected based on eligibility, program expectations, and research proposals. Overriding
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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
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to use various computer software programs. Researcher III Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience
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member of our team. . 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 an accredited
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Bachelor's Degree . Limited use and application of engineering principles, theories and concepts. Good written and verbal communication skills. Ability to use various computer software programs. * Must meet
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date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields, or a relevant Master's Degree and required years of relevant experience. Strong
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Computer Science or related fields Experience in power system modeling, optimization, and control Experience in at least one of the power system software tools including OpenDSS, PSCAD, PSS/E Experience in at least
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to employment start date. Additional Required Qualifications Relevant Ph.D. or Ph.D. candidate in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and
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biological, chemical, and catalytic research . The center has strong thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis