Graduate; Year-Round Intern - Transportation Systems Analysis

Graduate (Year-Round) Intern - Transportation Systems Analysis Location

CO - Golden

Intern (Fixed Term)

40

NLR is 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 Laboratory of the Rockies (NLR), where world‑class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR 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 NLR, 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.

Seeking full - or part‑time graduate candidates to work with researchers in NLR 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. Specific tasks may include:

• Assist NLR 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.
• Analyze large‑scale real‑world travel activity, vehicle driving, and geospatial datasets using scalable, high‑performance computing approaches.
• Contribute to the development and enhancement of population evolution and demographic microsimulation frameworks, including model design, calibration, validation, and scenario analysis; clearly communicate modeling approaches and findings to technical and non‑technical stakeholders.
• Evaluate transportation accessibility outcomes alongside economic and outcomes, and help quantify tradeoffs and co‑benefits associated with emerging mobility systems, infrastructure investments, and policy interventions.
• Generate insights from transit datasets, including General Transit Feed Specification (GTFS), ridership, usage, and fare data to evaluate transit performance and accessibility.
• 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.

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.

• Experience working with quantitative data and performing statistical or analytical tasks.
• Proficiency in at least one programming or analytical tool such as Python, R, MATLAB, or SQL.
• Ability to create clear and accurate data visualizations…