Research Associate
University of Louisiana at Lafayette
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 #J-18808-Ljbffr
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