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Duties:
Using power systems engineering and energy systems modeling, focus on power system expansion planning and operations research.
Develop and implement optimization-based planning models (e.g., coordinated generation and transmission expansion, unit commitment), apply mixed-integer, stochastic, and large-scale mathematical programming techniques, and analyze the impacts of emerging technologies and policies on system reliability, costs, and operations.
The role involves independent technical research, model formulation, computational implementation, and interpretation of results to support planning studies, customer-facing analyses, proposals, technical publications, and presentations at external conferences.
May telecommute from anywhere in the US.
Requirements:
Employer will accept a Master’s degree in Energy, Energy Systems Engineering, Power Systems, Operations Research, or related field, and 2 years of experience in the job offered or an energy engineering-related occupation.
Alternatively, Employer will accept a Ph.D. in Energy, Energy Systems Engineering, Power Systems, Operations Research, or related field.
Experience or Education Must Include:
Optimization- and simulation-based modeling for expansion planning and generation scheduling studies
Applying scalable, applied power system modeling frameworks to real-world planning and operational analyses
Energy economics, electricity markets, and mathematical optimization modeling
Power system analysis and modeling
Power system planning models and simulations, using scripting environments such as MATLAB, Python, Julia, or GAMS
Power system operations modeling, including production cost simulation using the same scripting tools
Data analytics and visualization skills, with the ability to extract insights, build clean graphical outputs or lightweight GUIs, and communicate results effectively
Design and use of scalable, applied power system modeling and optimization frameworks, implemented through custom-developed tools capable of supporting real-world planning and operational analyses at industry scale
Analytical mindset, capable of identifying patterns, diagnosing model behavior, and translating technical findings into clear conclusions
Experience/education in the utilities/energy industry
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