Graduate; Year-Round Intern - Transportation Systems Analysis

Graduate (Year-Round) Intern - Transportation Systems Analysis

Location
:
Golden, CO

Position Type
:
Intern (Fixed Term)

Hours per Week
: 20

Seeking full‑ or part‑time graduate candidates to work with researchers in the 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.

• Assist NLR researchers on projects providing insights into transportation energy systems, focusing 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; communicate modeling approaches and findings to technical and non‑technical stakeholders.
• Evaluate transportation accessibility outcomes alongside economic and other outcomes, quantifying trade‑offs and co‑benefits associated with emerging mobility systems, infrastructure investments, and policy interventions.
• Generate insights from transit datasets, including 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 3.0 cumulative GPA.

• Undergraduate:
  Full‑time bachelor’s student from an accredited institution.
• Post‑Undergraduate:
  Bachelor’s degree earned within the past 12 months, eligible for up to one‑year internship.
• Graduate:
  Full‑time master’s student from an accredited institution.
• Post‑Graduate:
  Master’s degree earned within the past 12 months, eligible for up to one‑year internship.
• Graduate + PhD:
  Master’s degree completed 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.

• Experience with demographic or population modeling or longitudinal data.
• Experience 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, Tensor Flow, PyTorch, or similar.
• Cumulative undergraduate/graduate GPA over 3.5 on a 4.0 scale.

Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match; and sick leave (where required by law). Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

Interns must obtain and maintain a federal PIV card as required by Homeland Security Presidential Directive 12; assignments beyond six months require this.

Pre‑employment drug testing is required; positive results may lead to offer withdrawal.

All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, or any other applicable status protected by federal, state, or local laws.

Accommodations are available for qualified individuals with disabilities.

We are a registered E‑Verify participant.