Graduate Intern – Artificial Learning and Intelligence for Transportation Safety and Operations

Advanced Energy Systems - Colorado School of Mines & NLR

. Conduct technology and literature scans of emerging AI methods and summarize relevance, maturity, and risks for FHWA .

Posted 11/4/2026internshipGolden • Colorado • United StatesEntry Level💰 $44,500 - $71,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python for data analysis and machine learning, with hands-on experience in developing AI methods for traffic operations. Capable of summarizing technical findings for diverse audiences and collaborating effectively within multi-organization teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model DevelopmentAI Methods ApplicationData Analysis with PandasTraffic Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningDeep LearningLarge Language ModelsData AnalysisPandasNumPyScikit-LearnPyTorchTensorFlow

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationTeam CollaborationTechnical Summarization

Tools & Technologies

High-Performance Computing Systems

Certifications & Qualifications

Federal PIV Card Eligibility

Industry Keywords

Transportation EngineeringTraffic OperationsData ScienceAI MethodsMultimodal Datasets

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Conduct technology and literature scans of emerging AI methods and summarize relevance, maturity, and risks for FHWA
Develop and evaluate AI and machine-learning models for traffic operations and safety
Process and integrate multimodal, multisource transportation datasets and validate findings against field data
Write documented Python code and run workflows on high-performance computing systems as needed
Document methodologies and results
Contribute to technical reports, presentations, and publications
Organize and characterize the SI program’s project portfolio to inform planning and investment decisions
Prepare briefings, white papers, fact sheets, and presentation materials for FHWA leadership, stakeholders, and workshops
Support program coordination by tracking tasks and progress, preparing meeting materials, and documenting decisions and action items
Collaborate with NLR researchers and FHWA program staff

Requirements

What you’ll need

Minimum 3.0 cumulative GPA
Undergraduate applicants must be enrolled full-time in a bachelor's degree program at an accredited institution
Post-undergraduate applicants must have earned a bachelor's degree within the past 12 months
Graduate applicants must be enrolled full-time in a master's degree program at an accredited institution
Post-graduate applicants must have earned a master's degree within the past 12 months
Graduate + PhD applicants must have completed a master's degree and be enrolled as a PhD student at an accredited institution
Must meet educational requirements before employment start date
Official or unofficial school transcripts required with application
Letter of recommendation required if selected
Proficiency in Python for data analysis and machine learning, including pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
Hands-on experience developing or applying modern AI methods, such as deep learning or large language models
Coursework or project experience in transportation or traffic engineering, computer science, or data science
Excellent written and verbal communication skills
Ability to summarize technical work for non-technical audiences
Ability to work on a multi-organization team
Must be able to obtain and maintain a federal PIV card when applicable, including a favorable background investigation
Must pass a pre-employment drug test

Benefits

Comp & perks

Medical, dental, and vision insurance
403(b) Employee Savings Plan with employer match
Sick leave where required by law
Potential eligibility for performance-, merit-, and achievement-based monetary awards
Potential eligibility for relocation expense reimbursement
Robust professional development opportunities
Competitive benefits package