Senior Research Associate: Traffic Analytics & ML

University of Louisiana at Lafayette

Arbolada Addition (LA)

On-site

USD 65,000 - 95,000

Full time

14 days+

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Job summary

The Department of Civil and Environmental Engineering at the University of Louisiana at Lafayette seeks a Research Associate IV/V to be positioned at the Louisiana Transportation Research Center (LTRC) in Baton Rouge. The successful candidate will work at LTRC's Intelligent Transportation Systems (ITS) Lab, a state-of-the-art facility where traffic data is collected, analyzed, and reported.

The research associate will provide technical expertise in all aspects of the data collection, analysis,

Qualifications

  • MS degree in Civil Engineering or related field; transportation focus preferred.
  • Experience with relational database development and management.
  • Experience in safety (crash) data analysis, machine learning, and advanced statistics.
  • Proficiency with R and Python or similar statistical languages.

Responsibilities

  • Develop and maintain research projects, literature reviews, and research design.
  • Analyze traffic data and perform data analytics; primary resource for data analytics.
  • Create meaningful visualizations for reports and publications.
  • Apply machine learning to traffic modeling and simulation; work with ITS data.

Skills

Relational databases
Data analytics
Machine learning
Statistics
Python
R
Communication

Education

MS in Civil Engineering or related
Graduate transportation focus preferred
PhD preferred

Tools

GIS
Tableau
VISSIM
NLOGIT

Job description

The Department of Civil and Environmental Engineering at the University of Louisiana at Lafayette seeks a Research Associate IV/V to be positioned at the Louisiana Transportation Research Center (LTRC) in Baton Rouge. The successful candidate will work at LTRC's Intelligent Transportation Systems (ITS) Lab, a state-of-the-art facility where traffic data is collected, analyzed, and reported.

The research associate will provide technical expertise in all aspects of the data collection, analysis,

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