Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
The Center for Sustainable Mobility at the Virginia Tech Transportation Institute (VTTI) seeks qualified transportation professionals with a strong background in traffic modeling, traffic data analysis, and connected vehicle applications. The candidate should be an experienced researcher capable of independently running research projects and working in multidisciplinary teams to improve transportation sustainability through cutting-edge research. Research projects range from traffic modeling and simulation to experimental studies that implement novel traffic solutions on a restricted access test facility and on public roadways. This position is expected to work on developing a comprehensive traffic prediction toolbox that encompases traffic modeling, statistical modeling and machine learning approaches. The successful applicant will perform work involving conventional transportation engineering practices, however the work includes a variety of complex features such as working with fluctuating requirements, cycles of field and/or office work, and developing and implementing novel approaches to evaluating transformative transportation technologies. The employee will contribute to the conceptualization of research and proposal development with principal investigators. With assistance, the successful applicant will manage the day-to-day operations of research projects including: literature reviews, research design, research execution, data analysis, report writing, presentations, and publications. The applicant must be interested in improving transportation sustainability and be willing to work on multiple projects in a fast paced research environment. Duties and responsibilities:
Develop traffic models and algorithms according to project needs.
Aid in the development of proposals
Aid in overseeing projects to ensure deliverables are delivered in a timely fashion
Act as a mentor for junior engineers through provision of knowledge transfer
Assist with the conceptualization and creation of work plans, protocols, and procedures
Review and critique research plans and reports
Coordinate and collaborate with subcontractors and interface with stakeholders
Manipulate and analyze data
Write research reports
Present research findings
Travel to research sites (requirement fluctuates but will generally be <15%) Directions given and received: Receive instructions on project objectives, feedback on proposed research plans, and project logistics from principal investigators and project managers. Will supervise or coordinate the work of graduate research assistants, students, technicians, and others who assist in specific assignments. Must be able to work effectively independently as well as within multidisciplinary project teams as appropriate. Good project management skills to oversee project schedule and deliverables. The willingness to work in a fast-paced research environment, including managerial skills to potentially coordinate researchers, undergraduate and graduate level students.
-MS degree in Civil and Environmental Engineering with a Transportation Engineering specialization. -Experience in artificial intelligence in transportation. -Experience in traffic safety and human factors. -Experience of connected automated vehicle technologies. -Experience in traffic prediction modeling, freeway bottleneck detection, and modeling techniques for congestion management. -Proficiency in the use of different traffic simulation software. -Experience in working with a driving simulator and developing codes. -Proficiency to implement transportation algorithms into various software environments using Matlab and C/C++. -Experience in research proposal and report writing for state and federal agencies.
-Ph.D in Civil and Environmental Engineering with a Transportation Engineering specialization. - Experience in safety applications and driver behavior. - Experience in developing machine learning algorithms. -Experience of large scale traffic data reduction and analysis using statistical software. -Experience in the use of the INTEGRATION traffic simulation software. -Served as PI/Co-PI on state and federal agency projects.
Employee Category: Research Faculty
Appointment Type: Restricted
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
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For inquiries regarding non-discrimination policies, contact the executive director for Equity and Accessibility at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth's most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfills its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).