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National Renewable Energy Laboratory Integrated Electric Vehicle and Grid Infrastructure Modeling and Data Researcher II in Golden, Colorado

Posting Title

Integrated Electric Vehicle and Grid Infrastructure Modeling and Data Researcher II



CO - Golden


Position Type



Hours Per Week



Job Description

Working within the Center for Integrated Mobility Sciences and as part of the Advanced Vehicle and Charging Infrastructure Group, this position will develop new and innovative models, tools, datasets, methods and approaches to analyze key infrastructure and vehicle usage data to characterize and optimize the operation and charging of electric vehicles within existing and future charging infrastructure. The successful candidate will use existing tools such as the Electric Vehicle Infrastructure Projection tool (EVI-Pro) modeling tool, our Future Automotive Systems Technology Simulator (FASTSim) as well as other tools such along with large datasets such as NREL’s Fleet DNA or the Transportation Secure Data Center as we strive to analyze and model local and regional electric vehicle (EV) charging scenarios. This position will work in collaboration with NREL’s EV and grid power researchers as well as other government research, academic and industry partners to help optimize the value and opportunity of EVs for the private and fleet EV owners as well as the utility industry.

The team is looking for a researcher with a passion for understanding and analyzing big data, consumer behavior, EV and EV charging operations as well as other advanced vehicles and transportation systems to join their growing team. Because this is an emerging research area, we are interested in applicants from a broad background including those with experience in EV infrastructure planning, computational science, micro-grid design and control, distribution system planning, power electronics, and geographical information systems. Previous experience with technologies such as demand response, wind energy, solar energy, concentrating solar energy, distributed generation, and energy storage, as well as systems integration issues is a major plus. This position will require the successful candidate to participate in the development and execution of models, analysis of results, and publication of results in written reports and spoken presentations.

Successful candidates will have a background and expertise in one or more of the following topics:

  • Demonstrated experience in solving numerical scientific or engineering problems that require very large datasets using programming languages such as R, Python/pandas, Matlab, SQL, QGIS and/or C++ Familiarity with statistical analysis skills and methods such as time series, imputation, logistic and ordinary least squares (OLS) and exploratory data analysis (EDA)

  • Familiarity with machine learning using approaches such as neural networks and recurring neural networks, decision tree and ensemble methods

  • Ability to perform various types of geoprocessing, through user interface and by programmatic methods

  • Exposure to concepts and methods commonly used in electricity markets, power systems modeling, electric vehicle powertrain modelling, other relevant engineering systems modeling.

  • Exceptional written and spoken communication skills.


Basic Qualifications

Master's Degree in Electrical Engineering, Systems Engineering, or related field.

Or, Bachelor's Degree in Electrical Engineering, Systems Engineering, or related field, and 2 or more years of relevant experience.


Additional Required Qualifications

Preferred Qualifications

Preferred candidates will have knowledge of and experience with hybrid and electric vehicle technologies, such as high voltage batteries, inverters, and chargers; as well as knowledge of grid and electric vehicle supply equipment (EVSE) and back-office networks necessary for integrated EV-Grid operation. Further, preferred candidates will have qualifications in any of the following categories:

  • Demonstrated interaction with cross-disciplinary research team and external stakeholders.

  • Prior work or academic experience on topics relating to customer adoption or customer operation of distributed energy resources and/or electric vehicles

  • Experience developing statistical, machine-learning based, and/or agent-based models

  • Knowledge or experience with analytics and data science tools and skills such as Weka, SAS, A/B Testing, Power BI, and survival analysis

  • Prior work or academic experience on topics relating to behavioral, economic, and regulatory aspects of distributed energy resources


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The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.

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