We are open to both remote/in-person and full-/part-time. Eligibility for these positions requires being currently enrolled as a graduate or an undergraduate student, or having graduated less than 12-months ago.

Seeking full- or part-time graduate or highly qualified undergraduate interns to join our growing group and to conduct research related to conventional and advanced powertrain modeling/simulation, and related analysis of transportation data and energy/carbon emissions. Relevant technologies to model and analyze include plug-in electric vehicles (plug-in hybrid and battery electric), alongside conventional, hybrid, and fuel cell vehicles. Applications of interest span light-duty personal vehicles to medium- and heavy-duty commercial vehicles. Assessment of connected / automated vehicles and alternative mobility paradigms to traditional car ownership are also of interest.

Additional activities may include:

  • Building, enhancing, and validating modeling and simulation tools.
  • Working with external collaborators to develop tools/capabilities and insights.
  • Examining the interactions between availability of supporting infrastructure and component materials for advanced vehicles, and consumer preferences for those vehicles.
  • Working with large datasets, including acquiring data, performing quality control, analyzing, and producing visualizations.
  • Translating results into effective and influential communication products and tools tailored to client requests and audience requirements.
  • Producing high-quality publications, reports, and research proposals.
  • Supporting additional related research projects as needed.

Basic Qualifications

Must be enrolled as a full-time student in a Bachelor’s, Master’s or PhD degree program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average.

Please Note:
•You will need to upload official or unofficial school transcripts as part of the application process.
•If selected for position, a letter of recommendation will be required as part of the hiring process.

Additional Required Qualifications

Preferred Qualifications

Highest priority preferred qualifications:

  • Strong collaboration skills—thrives working in a collaborative team environment, but is comfortable working independently when necessary.
  • Familiarity with vehicle fuel economy, performance, and/or cost modeling (to include familiarity with vehicle component / subcomponent modeling and supporting data requirements).
  • Expertise with relevant software tools / scientific computing / programming languages (such as Python, Rust, MATLAB, C/C++, R, JavaScript, etc.), and demonstrated versatility working with various tools and approaches.

Additional preferred qualifications:

  • Excellent verbal and written communication skills.
  • Capabilities with physics-based as well as mathematical modeling and machine-learning approaches.
  • Expertise working with large datasets, leveraging high-performance computing resources, and / or performing data analysis and visualization.
  • Strong undergraduate/graduate grade point average (GPA)

Please include all relevant experience and qualification information on the uploaded PDF (or MS Word) copy of your resume or CV.

Annual Salary Range (based on full-time 40 hours per week)

Job Profile: Graduate I / Annual Salary Range: $41,600 – $66,600

NREL takes into consideration a candidate’s education, training, and experience, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.

About National Renewable Energy Laboratory (NREL)

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.