The National Laboratory of the Rockies (NLR) is focused on energy systems research and development. They are seeking graduate candidates for a year-round internship in Transportation Systems Analysis, where interns will assist researchers with data development and analysis related to emerging transportation technologies.
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
Qualification
Required
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
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
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 undergraduate/graduate GPA over 3.5 on a 4.0 scale
Benefits
Medical, dental, and vision insurance
403(b) Employee Savings Plan with employer match*
Sick leave (where required by law)
Performance-, merit-, and achievement- based awards that include a monetary component (eligible for, but are not guaranteed)
Some positions may be eligible for relocation expense reimbursement.
Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
National Laboratory of the Rockies conducts research, technology development, testing, and scientific analysis in the energy sector.