Graduate Intern: V2X Modeling & Traffic Simulation

National Laboratory of the Rockies; Golden (CO); Presencial; USD 45.000 - 71.000; Jornada completa

Descripción de la vacante

The National Laboratory of the Rockies invites applications for a Graduate Intern – Connected Vehicle (V2X) Communications Modeling and Traffic Simulation in Golden, CO. This fixed-term intern position focuses on data analysis, simulation modeling, and machine-learning approaches for V2X traffic systems.

The role requires Python proficiency, ML experience on scientific data, and the ability to work on a multi-laboratory team.

Formación

• Proficiency in Python for data analysis (pandas, NumPy, Matplotlib).
• Experience applying machine learning to scientific or engineering data (scikit-learn, PyTorch, TensorFlow).
• Coursework or project experience in wireless communications, transportation/traffic engineering, or data science.
• Excellent written and verbal communication; able to work on a multi-laboratory team.

Responsabilidades

• Clean, process, and analyze large-scale V2X field-test logs to characterize performance (packet delivery, latency, range) as function of distance, density, and environment.
• Calibrate and validate microscopic LTE-V2X models against field data.
• Develop and train ML surrogate models from large simulation data; assess accuracy and efficiency.
• Write well-documented Python code and run workflows on HPC systems.
• Document results and contribute to technical reports, presentations, and publications.

Conocimientos

Python for data analysis

Machine learning on scientific data

Communication skills

Team collaboration

Educación

Master's student in progress

Bachelor's degree completed within past 12 months

Herramientas

Git

High-performance computing

HELICS

ns-3

Descripción del empleo

The National Laboratory of the Rockies invites applications for a Graduate Intern – Connected Vehicle (V2X) Communications Modeling and Traffic Simulation in Golden, CO. This fixed-term intern position focuses on data analysis, simulation modeling, and machine-learning approaches for V2X traffic systems.

The role requires Python proficiency, ML experience on scientific data, and the ability to work on a multi-laboratory team.