Posted 2w ago

Research Associate V

@ University of Louisiana at Lafayette
Lafayette or Baton Rouge
OnsiteFull Time
Responsibilities:Develop databases, Analyze traffic data, Create visualizations
Requirements Summary:MS in Civil Engineering or related field; experience in relational databases, data analysis, machine learning; proficiency in R or Python; GIS and data visualization tools; preferred PhD in Civil/Environmental Engineering with transportation focus.
Technical Tools Mentioned:R, Python, GIS, Tableau, VISSIM, NLOGIT
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Job Description

Position Title: Research Associate V

Department: 2420|Civil Engineering

Responsibilities:

Research Associate IV / V

Job Summary:
The
Department of Civil and Environmental Engineering of the University of
Louisiana at Lafayette seeks a Research Associate IV/V to be positioned at the
Louisiana Transportation Research Center (LTRC) at Baton Rouge, LA. 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, and reporting stages of a
research project.  Research projects
range from traffic simulation studies to experimental studies that implement
novel traffic solutions. This position is expected to
work on analyzing transportation
engineering data including but not limited to probe data, crash data, traffic
flow data, census data etc. and developing meaningful inferences, while
supporting solution development through traffic modeling, statistical
modeling and machine learning approaches as well as the development and management
of relational databases.

Job Responsibilities:
The
candidate will contribute to the conceptualization of research and proposal
development with principal investigators.  With assistance, the successful applicant will develop the day-to-day
operations of research projects including: literature reviews, research design,
research execution, data analysis, report writing, presentations, and
publications.  Duties and
responsibilities 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

Job Ad# (req4441)