The Michigan Traffic Lab (MTL) at the Department of Civil and Environmental Engineering (CEE) and the University of Michigan Transportation Research Institute (UMTRI) is seeking an outstanding PostDoctoral Research Fellow for a one-year, renewable appointment. This opportunity can provide you the experience of working on exciting connected and automated vehicle (CAV) related projects, while working with a group of experts in this domain, and help you build your future career. The Michigan Traffic Lab, led by Prof. Henry Liu, focuses on developing new methodologies and applications in smart transportation infrastructure and CAV technologies, particularly on CAV based traffic modeling and control, cybersecurity of the transportation system, and CAV testing and evaluation. For more information about MTL, please visit: http://traffic.engin.umich.edu/.
The post-doctoral researcher will conduct CAV related research in close collaboration with faculty and students within MTL and other researchers at CEE, UMTRI and Mcity. Duties will include conducting original and collaborative research, publishing in peer-reviewed scientific journals, participating in seminars and work groups, and collaborating on research proposals and grant applications. The successful candidate will: 1) author and co-author peer-reviewed publications and present at professional meetings; 2) collaborate in ongoing projects and develop new research proposals; and, 3) help supervise and train undergraduate and graduate students. Desirable qualification includes excellent quantitative and analytical skills, excellent written and oral communication abilities, and a collaborative attitude.
The successful applicant should have a doctoral degree in transportation engineering, industrial engineering, computer science, or a related field. The candidate should have a demonstrated record of individual initiative and originality in research and strong analytic skills, including optimization, statistics, and programming. Candidates with practical knowledge in one or more of the following areas are preferred: CAV data standards, CAV data analysis and visualization, and traffic signal systems. Candidates are required to have strong core fundamentals that allow them to work across disciplinary boundaries.
The successful candidate will be given opportunities to participate in leading-edge industry and government funded research. This position also offers the opportunity to develop a research program and enhance skills necessary for a successful academic/research career. Appointment extensions or promotion are possible and will depend on performance and funding.
The quality of life in Ann Arbor is outstanding. The combination of a large, major research university and a small, safe, family-oriented community make Ann Arbor an ideal environment to develop an academic and research career. Ann Arbor also offers an outstanding combination of sports, recreation, and cultural activities.
Interested applicants should prepare a cover letter and a detailed CV. The cover letter should specifically indicate your reasons for interest in this position and should describe your particular skills and experiences related to this position. All inquiries should be directly to Prof. Henry Liu (firstname.lastname@example.org).