The Connecticut Transportation Safety Research Center (CTSRC) is seeking a Postdoctoral Research Associate in connected and automated vehicles 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 support a vibrant federal-, state- and industry-funded research program and assist faculty and staff in pursuing traditional and non-traditional external funding sources. Candidates will be expected to work with UConn’s full scale driving simulator and future Connected and Automated Vehicle development tools to advance the Center’s knowledge for addressing fundamental challenges in Artificial Intelligence (AI) and Machine Learning (ML) with respect to Transportation and Civil Engineering.
The candidate is expected to support CTSRC staff on creative and innovative multidisciplinary research projects which benefits owners, operators, decision-makers, and the traveling public. The candidate should demonstrate the potential to support current faculty and staff in related areas at CTI.
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 and safety of our transportation system. These technologies would include connected and automated vehicles, 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 presents 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, safety analysis, and econometric and statistical modeling.
DUTIES AND RESPONSIBILITIES
- Work on two emerging projects on Connected and Automated Vehicles (CAVs) and crowd sourced Intelligent Transportation System (ITS) GIS based applications
- Conduct studies of related literature to support research design and proposal development
- Work with other research staff to support the development of proposals and literature to help maintain funding to support this position in the future
- Publish findings in peer-reviewed journals
- Present research work at national and international scientific conferences and other appropriate settings
Completion of all requirements for a Ph.D. in Civil Engineering or a related field by the time of appointment with a focus related to the future of mobility, connected and automated vehicles and infrastructure, or travel behavior analysis
Proficiency in data processing and statistical analysis software such as R, Python, MS Excel, SAS, etc.
An undergraduate degree in civil or transportation engineering
An outstanding record of research and scholarship excellence
Ability to effectively communicate and a record of public engagement
Extensive experience in machine learning, artificial intelligence, data analytics, and visualization
Experience in driving simulators
Demonstrated experience in promoting diversity in civil and environmental engineering
Ability to pursue collaborative opportunities with current faculty and staff
This is a full time, 12-month, annually renewable position based on performance, budget, and program need. The targeted salary for this position is $60K.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment at the University of Connecticut is contingent upon the successful candidate’s compliance with the University’s Mandatory Workforce COVID-19 Vaccination Policy . This Policy states that all workforce members are required to have or obtain a Covid-19 vaccination as a term and condition of employment at UConn, unless an exemption or deferral has been approved.
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
Please apply online at https://hr.uconn.edu/jobs , Staff Positions, Search # 495747 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 November 2, 2021.
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.