How to Apply
To apply, please submit a cover letter, CV, names and contact information of three people who would be willing to provide a letter of recommendation, and a brief description (1000 to 1500 words) of research that might be undertaken during the first year. The cover letter should contain a statement of research interests, should address your specific interest in the position, and should outline skills and experience that directly relate to this position. Please submit all materials as a single document in response to this posting through the University of Michigan jobs portal. The Research Fellow position is for a one-year, renewable appointment dependent upon performance and funding.
The Human Factors group of the University of Michigan Transportation Research Institute (UMTRI) is seeking an outstanding Post-Doctoral Research Fellow for a one year, potentially renewable appointment. This opportunity can provide you experiences of working on exciting connected and automated vehicle technology related projects, while working with a group of experts in this domain, and helping you to build up your future.
The Human Factors Group studies the interactions of the driver, the vehicle, and the environment. The underlying rationale for research in this division is that well-designed vehicles and driving environments make the driving task safer, easier, more efficient, and more enjoyable. Research conducted by the Human Factors group ranges from basic to translational in purpose, individual to policy in focus, experimental to simulation in design, utilizing a breadth of research methods, including surveys, qualitative and quantitative data collection, driving simulation and instrumented vehicles using state-of-the-art technologies.
The post-doctoral research associate will conduct driving safety research in close collaboration with research scientists and faculty in UMTRI. Duties will include conducting original and collaborative research, publishing in peer-reviewed scientific literature, participating in seminars and work groups, and collaborating on research grant applications. The successful candidate will:
- Author and co-author peer-reviewed publications and presentations at professional meetings.
- Collaborate in ongoing research and new research proposals with faculty.
- Help supervise and train undergraduate and graduate students.
Desirable characteristics include:
- Strong collaborative aptitude.
- Excellent written and oral communication abilities.
- Excellent quantitative and analytical skills.
The successful applicants will have a doctoral degree in industrial engineering, transportation engineering, psychology, human factors, or a related field. The candidates will have a demonstrated record of individual initiative and originality in research, strong analytic skills, familiar of a statistical package such as R, SAS, or MatLab, and the potential to become an independent academic researcher within two to three years.
Preference will be given to applicants whose training, skills and research interests match and complement the research interests of research scientists and faculty in the Human Factors group at UMTRI. For more information, contact Dr. Shan Bao (email@example.com) or UMTRI's director, Dr. James Sayer (firstname.lastname@example.org)
Successful candidates will have opportunities to participate in leading-edge industry and government funded research in vehicle safety, including in the connected and automated vehicles domain. This position also offers the opportunity to develop a research program and enhance skills necessary for a successful academic/research career.
Appointment extensions are possible dependent upon 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 events.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
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