76 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at National Renewable Energy Laboratory NREL
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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 institution. Post Undergraduate: Earned a
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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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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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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
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various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Level II: Application of technical principles, theories and
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to support large scale electric system capacity expansion. The developed data sets, data specifications, and tools will help inform future planning, policy and infrastructure development. Develop
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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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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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degree program, or graduated in the past 12 months from an accredited institution. Candidates who have earned a degree may work for a period not to exceed 12 months. Must have a minimum of a 3.0 cumulative
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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