National Renewable Energy Laboratory

Compensation

Full Description

Job Description: • Collect the required data and develop fundamental methods and software tools and interfaces required to support large scale electric system capacity expansion. • Develop the generalized frameworks to link capacity expansion models (CEM), such as GenX and ReEDS, and production cost models (PCM), such as Sienna\Ops. • Develop automated workflows to estimate maximum power flow transfer constraints between any arbitrary set of aggregated spatial regions (or 'zones'). • Work towards automating transmission network designs to enable generation interconnections and transmission capacity augmentations consistent with results from CEMs and develop methods for automated downscaling of zonal CEM results to a nodal PCM for further reliability analysis. Requirements: • 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. • Demonstrates broad understanding and wide application of engineering technical procedures, principles, theories and concepts in the field. • General knowledge of other related disciplines. • Demonstrates leadership in one or more areas of team, task or project lead responsibilities. • Demonstrated experience in management of projects. • Very good writing, interpersonal and communication skills. • Domain knowledge of bulk power system modeling, such as capacity expansion, resource adequacy, and/or production cost modeling. • Demonstrated understanding of power systems and power flow modeling fundamentals. • Demonstrated experience in optimization modeling, including proficiency with a programming language such as GAMS, Python, and/or Julia. • Experience with working with large data sets. • An interest in power system issues. • Strong written and oral communication and interpersonal skills. • Ability to work independently and in team settings. • Preferred bulk power system domain knowledge about investment/planning processes, grid operations, markets, regulatory processes, etc. • Experience with software engineering practices, including version control systems, automated testing frameworks, and continuous integration pipelines. • Deep familiarity with using and developing Sienna for power systems modeling. Benefits: • medical, dental, and vision insurance • short- and long-term disability insurance • pension benefits • 403(b) Employee Savings Plan with employer match • life and accidental death and dismemberment (AD&D) insurance • personal time off (PTO) and sick leave • paid holidays • tuition reimbursement