Research Associate V

University of Louisiana at Lafayette; Arbolada Addition (LA); On-site; USD 65,000 - 95,000; Full time

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

Position Title: Research Associate V

Department: 2420|Civil Engineering

Responsibilities

Research Associate IV / V

Job Summary

TheDepartment of Civil and Environmental Engineering of the University ofLouisiana at Lafayette seeks a Research Associate IV/V to be positioned at theLouisiana Transportation Research Center (LTRC) at Baton Rouge, LA. Thesuccessful 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 expertisein all aspects of the data collection, analysis, and reporting stages of aresearch project. Research projectsrange from traffic simulation studies to experimental studies that implementnovel traffic solutions. This position is expected towork on analyzing transportationengineering data including but not limited to probe data, crash data, trafficflow data, census data etc. and developing meaningful inferences, whilesupporting solution development through traffic modeling, statisticalmodeling and machine learning approaches as well as the development and managementof relational databases.

Job Responsibilities

Thecandidate will contribute to the conceptualization of research and proposaldevelopment with principal investigators. With assistance, the successful applicant will develop the day-to-dayoperations of research projects including: literature reviews, research design,research execution, data analysis, report writing, presentations, andpublications. Duties andresponsibilities include:

• Develop and maintain databases using direct access and application data import and retrieval processes.
• Perform research and analyze traffic data to address ITS, traffic safety, and planning issues. The candidate will serve as the primary resource on data analytics.
• Produce meaningful visualizations from data analytics for inclusion in research reports.
• Provide technical expertise in the application of machine learning algorithms in traffic modeling and simulation work that incorporates emerging concepts including connected and/or automated vehicles.
• Interpret and derive meaningful insights from statistical and machine learning analyses related to traffic safety, planning, and ITS.
• Contribute to the conceptualization and creation of research statements, proposals, and reports.

Qualifications

Minimum Requirements

• MS degree in relevant engineering discipline (Civil Engineering with graduate work related to transportation systems research preferred)
• Experience in relational database development and management
• Experience in safety (crash) data analysis, machine learning algorithms, and advanced statistical analysis
• Experience using statistical computer languages: R, Python, etc.

Preferred Requirements

• Ph.D. in Civil and Environmental Engineering with a Transportation Engineering specialization
• Experience of large scale traffic data reduction and analysis
• Experience in Geographic Information Systems (GIS), Probe Data, Tableau, VISSIM, and NLOGIT