JOB SUMMARY

The Connecticut Transportation Safety Research Center (CTSRC) is seeking a Postdoctoral Researcher in GIS, applications development, and data analytics. The CTSRC is part of the Connecticut Transportation Institute (CTI) which is comprised of three research centers, the Technical Assistance and Training Center, The Connecticut Advanced Pavement Laboratory, and CTSRC. The Connecticut Transportation Institute (CTI) was established at the University of Connecticut in 1974 and operates within the School of Engineering. CTI’s mission is to conduct integrated multidisciplinary research, education, and related services that promote safety and efficiency in multi-modal passenger and freight transportation systems and, in turn, enhance livable communities, sustainable economies, and the environment. CTI brings together a critical mass of transportation faculty and research talent at the University of Connecticut, the top public research institution in New England.

The successful candidate will initially be expected to work on a project funded by the Federal Motor Carrier Safety Administration (FMCSA) to develop an application to notify commercial vehicle operators where parking is available in the state. Candidates may also be able to work with staff at CTSRC on a variety of other projects including our Connecticut Roadway Safety Management System (CRSMS), Connected and Automated Vehicle development tools, and assist in developing the center’s knowledge surrounding fundamental challenges in Artificial Intelligence (AI) and Machine Learning (ML) with respect to Transportation and Civil Engineering. The candidate should have research expertise in at least one of the following areas:

Future of Mobility - The concepts of mobility on demand and mobility as a service along with connected and automated vehicles will revolutionize our transportation system. The impacts and mechanics of these technological advances will change the way we travel and introduce significant challenges of safety, sustainability, and equity. These advances include connected vehicles, automated vehicles, autonomous vehicles, automated data collection, remote sensing, and vehicle-to-vehicle communications.

Connected Infrastructure - The integration of sensors and communications devices with civil infrastructure provides unlimited opportunities to enhance the efficiency of the design, construction, control, and maintenance of civil and environmental infrastructure. These technologies would include smart traffic signals, smart and connected cities, vehicle-to-infrastructure communications, transportation asset data collection, and management practices.

Traveler Behavior Analysis - All movement of people results in an enormous amount of data being collected on an hourly or daily basis. Such data present the opportunity to apply advanced processing methods and applications including AI and ML-infused microsimulation-based approaches to model and analyze travel behavior, safety, and efficiency optimizations in real time. This area would lead to AI and ML innovations in research in the areas of activity-based travel behavior, time use analysis, travel demand modeling and forecasting, transportation planning and policy analysis, integrated models of land use and transport, the convergence of traveler behavior and safety analysis, and econometric and statistical modeling. 

DUTIES AND RESPONSIBILITIES

• Conduct studies of related literature to support research and development of the parking application.
• Support staff in the collection and analysis of GIS-based data and analysis.
• Support the principal investigator in the drafting of reports and documents related to the deliverables of this research grant.
• Assist in publishing findings in peer-reviewed journals.
• Present research work at national and international scientific conferences and other appropriate settings.

MINIMUM QUALIFICATIONS

• Completion of all requirements for a Ph.D. in civil, engineering, transportation engineering, computer science, GIS,  or a related field by the time of appointment (equivalent foreign degrees are acceptable).
• Demonstrated potential for excellence in undertaking successful research and scholarship.
• Strong quantitative and analytical skills, ideally with demonstrated ability to lead modeling research.
• Ability to work independently, with strong communication and writing skills
• Experience in data analysis and visualization,

PREFERRED QUALIFICATIONS 

• Proficiency in one more programming language (e.g., R, Python, or other scientific languages).
• Experience with Spatial analysis using ArcGIS.
• Development of web-based software applications.

APPOINTMENT TERMS

This position is a full-time, 12-month appointment. The position may be annually renewable based on performance, budget, and needs of the Department and College.

TERMS AND CONDITIONS OF EMPLOYMENT

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

TO APPLY

Please apply online at https://hr.uconn.edu/jobs , Staff Positions, Search #497286 to upload a resume, cover letter, and contact information for three (3) professional references.

This job posting is scheduled to be removed at 11:55 p.m. Eastern time on March 7, 2023. 

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp .

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.