Graduate (Year-Round) Intern - Transportation Systems Analysis

About the role

The National Laboratory of the Rockies (NLR) seeks full- or part-time graduate candidates to work with researchers in the Center for Integrated Mobility Sciences. These interns will assist in projects that provide insights into transportation energy systems, analyze large-scale real-world travel activity, and develop and enhance population evolution and demographic microsimulation frameworks.

Responsibilities

• Assist NLR researchers on projects providing insights into transportation energy systems, focusing 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 social 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.

Requirements

• 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.
• 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.
• 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.
• Experience handling large or complex datasets.
• Strong problem-solving skills and attention to detail.
• Good written and verbal communication skills.

Qualifications

• Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.

Skills

• 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.

Benefits

• Medical, dental, and vision insurance.
• 403(b) Employee Savings Plan with employer match*.
• Sick leave (where required by law).

Pay

$44,500 - $71,200 annually

Schedule

Less than 20 hours per week