The ideal candidate would have: An advanced degree (Masters or PhD) in electrical engineering, operations research, energy resources, economics, computer science, systems engineering or related education Experience in building an energy sector optimization or simulation model to answer economic questions Experience conducting economic analyses applying energy models to answer market, policy, and/or technology research questions Experience with at least one high-level modeling system for mathematical programming, optimization, and economics, such as GAMS, AMPL, Matlab, R, Python, or similar educational experience Excellent research and writing skills; strong oral communications skills; ability to present complex information in a clear and concise manner A positive attitude, comfortable working both collaboratively and independently Experience and interest in developing and contributing to cutting-edge research and communicating transfer of knowledge Experience with or interest in project budgeting, scheduling, creating written deliverables. Job Title: Energy-Economic Modeler/Analyst Location: Palo Alto, CA, Remote/Home Based, Washington, D.C. Job Summary and Description: The successful candidate will join the Energy Systems and Climate Analysis Group at EPRI (http://esca.epri.com), a team of leading climate economists and energy-economic modelers.