Want to change the world, today? Consider joining us for key leadership, research and staff career positions in our Transportation and Energy research programs. 


Our offices are located in the brand-new West Village at UC Davis, the nation’s largest planned zero-net energy community. You will work in partnership  with leading innovators in sustainable transportation energy research, where results move from university to industry practice and public policy in the span of months, not lifetimes. You could live steps from your office in an energy-efficient home, in a vibrant university town located 10 miles from Sacramento and 90 minutes from the San Francisco Bay Area.

All these research groups are co-located at UC Davis West Village:



Institute of Transportation Studies at UC Davis

ITS-Davis is currently looking to fill the position of Grant/Science Writer. The Grant/Science Writer will have a primary role in the planning, preparing, organizing and writing of grant proposals, and responding to calls issued by federal and state agencies, and private foundations.

The Grant/Science Writer also will be responsible for writing research studies conducted by ITS-Davis faculty, translating complex scientific concepts into readable and compelling documents, in such formats as blogs, policy briefs, press releases, and website content.

The final filing date for the position is September 5, 2018.  For full information on the Grant/Science Writer position, and how to apply, click here.

3 Revolutions Future Mobility Program

The Institute of Transportation Studies at UC Davis, in partnership with the UC Davis Policy Institute for Energy, the Environment, and the Economy, is currently looking for an analyst to join our interdisciplinary 3 Revolutions Future Mobility Program (3R). Candidates should be interested in the relationship between the three revolutions in transportation — shared mobility, electrification and autonomous vehicles—and societal benefits.

The 3R Program will be building the policy framework to accelerate the transition to economically, environmentally, and socially sustainable transportation. One goal is to provide policy makers at city, state and regional levels with evidence-based research and tools that can aid their decision-making.

Applicants should have interdisciplinary expertise in several of the following areas: policy analysis, economics, engineering, and mathematical modeling, and be comfortable in applying such tools to identify societal and environmental impacts of the 3 Revolutions.

There are a number of ongoing projects in which the candidate will participate (depending on their interests and strengths) including:

1.       Transportation Policy Post-Doctorate Researcher – This research position will include applied academic research relating to the societal and environmental impacts of vehicle automation, electrification and shared mobility. This could include serving as a principal investigator for research projects, or assisting in implementing research projects led by ITS faculty and researchers. This could include Assisting in the project management of graduate student researchers’ projects. It will also include policy analysis development (e.g. benefit-cost analysis, scenario development, model policy development, best practice assessment) to evaluate the challenges and opportunities associated with various policy alternatives including, but not limited to, road pricing, increasing pooling, reimagining bus service, or modernizing paratransit. Researchers will also support development of concise policy briefs to summarize formal research developed by team members and faculty. (Educational requirements: Candidates are required to hold a Ph.D. in a related field)

Transportation Technology and Policy Graduate Group

Lecturers are being sought for the Transportation Technology and Policy Graduate Group, hosted by ITS-Davis, for the 2018-19 academic year. Lecturer positions are open for the three classes listed below. Learn more about these positions and how to apply.

Travel Behavior Theories:

Draw on economics, psychology and sociology to provide a foundation for research in individual behavior and decision-making. Behavior theories aim to identify and describe the factors and processes including psychology, self-efficacy, attitudes, goals, and environmental and social factors, important in behavioral outcomes.

This course examines theories of behavior and their application to understanding travel behavior, focusing on policy applications. Theories of individual behavior include the rational choice model, utility maximization, heuristics, planned behavior, social networks, stages of change, and others. The fundamental assumptions, model of the individual, decision-making processes, and key characteristics of the choice environment for each theory are covered. Coursework includes application of theories to travel behavior outcomes of interest, with particular attention to the implications for policy and planning.

GoalsDevelop a working knowledge of theories of individual behavior, identify the key assumptions, limitations and processes described by each theory, and explain differences among theories. Evaluate the use of theories in past scholarship and apply theories to travel behavior and other environmental outcomes. Formulate research questions and data collection plans for the analysis of behavioral outcomes, drawing on theories discussed in class.

Applied Data Analysis

This course aims to provide students with the resources needed to examine, parse, and analyze datasets (with a specific aim for answering research questions).  This data analysis course covers a variety of concepts across disciplines of economics, statistics, and machine learning but with a specific emphasis on application.  All techniques will be taught through practical examples of real-world datasets with enough breadth to understand the most critical concepts behind various analysis techniques.

The concepts in the class include the exploration of data, gathering and cleaning of data.  The course delves into basic data analysis operations, including basics of examining and inspecting data (identifying data types, dealing with missing data and outliers, maintaining data integrity).  We will cover a range of regression analysis including parametric (OLS), semi-parametric (logistic), and non-parametric (GLM, kernel regressions) regressions.  Lastly, we will apply the learned techniques to real data.  We will cover a variety of datasets as examples (see potential datasets below) to demonstrate how to use the software tools.

Energy and Transportation Modeling for Policy Analysis

The course will familiarize students with building energy models for policy analysis, with an emphasis on the Transportation sector. Energy systems modeling covers a wide gamut of energy sectors and some of the most important elements (transportation, electricity, fuels, resources, infrastructure) will be reviewed in the course. The primary aim of the course will be on understanding the elements and techniques for modeling transportation energy usage, from vehicle technology to fuel supply and interactions with policy.

Important concepts that will be covered in class include discussion of important and emerging energy technologies, emissions mitigation strategies, optimization models, scenario analysis, and uncertainty. We will also discuss past and current transportation and energy policies and introduce techniques for policy analysis to provide context and inform decision regarding for future policies. The students will learn to integrate multi-disciplinary knowledge, build analytical tools, conduct alternative scenario analysis, and carry out sensitivity and uncertainty analysis.

The students will be introduced to several genres of energy models and will be required to complete a number of model building exercises using Excel, other tools introduced in class, or developed by students based on his/her own skills (some level of computer programming would be helpful, but not absolutely required, for this class). Students will become familiar with forecasting energy use and demands, gain experience of building techno!economic models, and develop skills for policy analysis. Assignments will draw on real-life policy problems in addressing environmental and energy challenges in transportation.

Plug-in Hybrid & Electric Vehicle (PH&EV) Research Center

The Plug-in Hybrid & Electric Vehicle (PH&EV) Research Center within the UC Davis Institute of Transportation Studies (ITS-Davis) is seeking to hire a researcher to study consumer issues related to plug-in electric vehicles, fuel cell vehicles, and automated vehicles. The researcher will study consumer perceptions, attitudes, purchase behaviors, vehicle use patterns, and policy related issues. The researcher should have both qualitative and quantitative research experience, in order to develop and conduct surveys and interviews, and analyze the findings for statistical significance. The applicant should also have experience in disseminating research results to policymakers using policy briefs, webinars, and one on one engagement. The researcher should understand the vehicle technologies being studied and be capable of leading a team of students and researchers to develop research protocols and write grant proposals— and analyze the results for publication in academic journals, and in policy briefs.


Applicants must have a graduate degree in science, engineering, public policy or a related field, or a graduate degree in a transportation-related field, but with expertise in both. At least one of these degrees must be a Ph.D. 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 conducting research (including surveys and interviews); experience developing research protocols, including filing, obtaining, and maintaining institutional review board project approval; and knowledge and proven experience in qualitative and quantitative data analysis, including statistics. The applicant should have experience in managing confidential personal data securely, and knowledge of IRB requirements related to personally identifiable information. The applicant should be competent in the use of at least one of the following statistical software packages: SPSS, STATA, R, or JMP, and qualitative software packages (e.g nVivo). The applicant must also have a demonstrated ability to secure research funding, and ability to initiate, coordinate, and conduct research programs in a variety of transportation research fields, and with a variety of funding sources, including state and federal agencies, private industries, and foundations. The applicant should have experience disseminating research to policymakers including direct engagement with state and national policymakers in the transportation field. 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: