The UC Davis Institute of Transportation Studies seeks to recruit a pool of qualified lecturers to teach a graduate-level courses through its Transportation Technology & Policy (TTP) graduate group during Academic Years 2019-20. Transportation Technology and Policy (TTP) is an interdisciplinary Graduate Group administered through the Institute of Transportation Studies (ITS). It offers three degrees: MS Plan I, MS Plan II, and Ph.D. The TTP program provides an opportunity to do interdisciplinary research to address pressing transportation, environmental, economic, policy and social challenges facing California, the United States, and the world with students coming from a variety of disciplines to pursue either a technology or policy track.
Candidates must have an appropriate professional degree, e.g. doctorate degree; demonstrated teaching ability; a record of scholarly achievement in an area of expertise related to the subject area of transportation research and instruction.
Transportation Technology & Policy (TTP) is an Interdisciplinary Graduate Group program offering Master's and Ph.D. degrees. The TTP graduate curriculum draws on a multitude of academic disciplines and the group utilizes participating faculty and temporary faculty to staff courses to maintain a top-quality academic program.
Criteria for appointment and reappointment will be evidence of teaching excellence (or, for first-time, relatively inexperienced candidates, the potential for excellence) in terms of the ability to present course material effectively, e.g., stimulating interest in and critical thought regarding the subject matter. Expertise in the subject matter will be evaluated based on the candidates’ letter of interest, a current curriculum vitae, professional experience, teaching evaluations, training, and other evidence of professional attainment.
Courses Open for Recruitment, Academic Year 2019-2020:
“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.
“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.
See http://catalog.ucdavis.edu/programs/TTP/TTPcourses.html for course descriptions.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement of Contributions to Diversity - Diversity contributions documented in the application file will be used to evaluate applicants. Visit https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion for guidelines about writing a diversity statement and why one is requested.
- 3-5 required (contact information only)