Posting Title

Undergraduate/Graduate Year-Round Intern - Transportation Systems Analysis

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Location

CO - Golden

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Position Type

Intern (Fixed Term)

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Hours Per Week

40

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Working at 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 energy systems research and development.

Join the National Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NREL, you’ll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

Seeking full- or part-time graduate or highly qualified undergraduate interns to work with researchers in NREL’s Center for Integrated Mobility Sciences on database development, data processing, and dashboard development to support analysis of mobility trends and energy implications of emerging transportation technologies. To learn more about the work this team does, check out this link here: https://www.nrel.gov/transportation/sustainable-mobility.html.

Specific job duties may include but are not limited to:

• Assist NREL researchers on projects providing insights into transportation energy systems, with a focus on how emerging transportation systems impact travel behavior, quality of life, and energy use.
• Work with and analyze large quantities of real-world travel activity and vehicle driving data, and potentially leverage high-performance computing resources for larger scale analyses.
• Work with existing Generalized Transit Feed Specification (GTFS) data as well as develop/enhance an existing codebase that modifies GTFS data.
• Quantifying and visualizing Mobility Energy Productivity (MEP) and impacts on MEP from emerging transportation technologies and paradigms such as vehicle automation, electrification and sharing.
• Deliver quality products that synthesize external literature, data analyses, and modeling results. 
• Document methods and assumptions and assist with preparing peer-reviewed publications along with high-quality technical reports and presentations.

This is a 3–12-month opportunity. The successful intern will be able to work at least a minimum of 20 hours per week.

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Basic Qualifications

Minimum of a 3.0 cumulative grade point average.

Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.


Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.



Please Note:

• Applicants are responsible for uploading 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.

• Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Preferred Qualifications

Highest priority preferred qualifications:

• Demonstrated programming experience in Python and R. Experience with R Shiny and/or JavaScript preferred.
• Demonstrated experience in traffic microsimulatio