Heading
Golden, CO
Internship
Onsite
$44K/yr - $71K/yr
Intern
National Laboratory of the Rockies is a national energy systems research and development laboratory focused on advancing affordable, secure, reliable, and cost-effective energy solutions. The Graduate Intern will support researchers in transportation systems analysis through database development, data processing, dashboard development, large-scale mobility data analysis, transportation modeling, and preparation of technical publications and reports.
Apply NowResponsibilities
- 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
- Robust professional development opportunities
- Medical, dental, and vision insurance
- 403(b) Employee Savings Plan with employer match (based on eligibility rules)
- Sick leave (where required by law)
- Performance-, merit-, and achievement-based awards that include a monetary component may be available to eligible NLR employees, but are not guaranteed
- Some positions may be eligible for relocation expense reimbursement