**Posting Title** Graduate (Year-Round) Intern - Transportation Systems Analysis . **Location** CO - Golden . **Position Type** Intern (Fixed Term) . **Hours Per Week** 20 . **Working at NLR** 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. **Job Description** 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: + AssistNLRresearcherson projectsprovidinginsights into transportation energy systems, with a focus on how emerging transportation systems impact travel behavior, quality of life, and energy use. + Analyze large-scalereal-world travel activity,vehicle driving,andgeospatial datasets using scalable,high-performance computingapproaches. + 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 andoutcomes, andhelp 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 andassumptions andassistwith preparing peer-reviewed publicationsalong withhigh-quality technical reports andpresentations. . **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** + 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 using tools such as Python (Matplotlib/Seaborn), R (ggplot2), or similar + Experience handling large or complex datasets + Strong problem-solving skills and attention to detail + Good written and verbal communication skills **Preferred Qualifications** + Experience with demographic or population modeling or longitudinal data + Experiences with transportation modeling, travel demand modeling, or land use and transportation interaction + Familiarity with GIS tools + Experience applying ML or data-driven methods to forecasting, behavioral modeling, or pattern recognition + Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, or similar + Cumulative unde