The 3 Revolutions Future Mobility Program within the UC Davis Institute of Transportation Studies (ITS-Davis) is seeking to hire a professional researcher to investigate the disruptive trends in transportation sector, in particularly those related to the changes brought by the emergence of new shared mobility services, vehicle automation and electrification. The researcher will study the adoption and frequency of use of new shared mobility services, their impacts on various components of travel demand and behavior, simulate those changes in large-scale travel demand models, and evaluate policy related issues. The researcher should have a rigorous qualitative and quantitative research experience, in order to design and administer data collections with quantitative surveys and in-depth interviews, conduct behavioral experiments, and estimate various types of statistical models. The applicant should also have experience in disseminating research results to policymakers using policy briefs, webinars, and one-on-one engagement. The researcher should be familiar with the current research on the disruptive trend in the transportation sector and capable of leading a team of students and researchers to develop research protocols and write grant proposals, analyze the data collected in these projects, and summarize the results in publications to be published in academic journals and policy briefs.
The appointee needs to possess the subject matter expertise and creative energy necessary to function at a high level of competence. The appointee will participate in activities to increase, improve, or upgrade competency. Appointees with Professional Research titles do not have teaching responsibilities; however, previous experience with both research and teaching on related topics would be desirable.
- The applicant must have a PhD degree in science, engineering, public policy or a related field with at least 1-2 years of work experience after the PhD. Further experience beyond that would be desirable.
- A record of publications in peer-reviewed journals, and some postdoctoral and mentorship experience is required.
- The applicant must possess expertise and experience designing and administering transportation surveys, and conducting behavioral experiments, and proven experience and knowledge in quantitative data analysis, including both classical econometric models and discrete choice models. Knowledge of machine learning and deep learning statistics would be desirable.
- The applicant should have experience in managing confidential personal data securely, and knowledge of the IRB requirements related to the treatment of personally identifiable information.
- The applicant should be competent in the use of various programming languages and statistical software packages, including but not limited to R, Python, STATA, R, Latent Gold, Mplus, and/or Julia. In addition, proficiency in geographic information system (GIS) software and expertise in massive location data in high resolution (e.g., anonymized cellphone/GPS-based mobility data) will be considered favorably.
- The applicant must have a demonstrated ability to secure research funding, and ability to initiate, coordinate, and conduct research projects in a variety of transportation research fields, and with a variety of funding sources, including state and federal agencies, private industry and research foundations. Experience working at projects at the international scale would be desirable.
- The applicant should have experience disseminating research to policymakers including direct engagement with state and national policymakers in the transportation field.
- The application should have experience collaborating with leading scholars in the field, not only in California, but also at the national and international level. Candidates with demonstrated experience supervising graduate and undergraduate students and leading research group projects with junior researchers will be preferred.
- Ability to engage in strong interpersonal collaboration and networking skills are required, along with the ability to function at a high level of competence, and to work effectively with individuals representing a diversity of backgrounds, interests, and positions, both within and outside of the University of California.
To apply to the position please use the link https://recruit.ucdavis.edu/JPF05145
The recruitment will stay open during 8/8/2022-11/30/2022