Lecturer for Transportation Technology and Policy, Fall Quarter, 2019

Posted July 2019

Position Description

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.

The TTP graduate curriculum draws on a multitude of academic disciplines and the group utilizes participating faculty or temporary faculty to staff courses to maintain a top-quality academic program. The following describes our search procedures and selection process for re-appointment or for hiring new temporary faculty.

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 (1) rigorous and intellectually challenging course content and (2) the ability to present that material effectively, e.g., stimulating interest in and critical thought regarding the subject matter. Whenever possible, candidates holding an earned doctorate will be preferred; however, a master’s degree and prior professional success and recognition for excellence will be weighted heavily and considered as minimum requirements.

Expertise in the subject matter will be evaluated based on the candidates’ academic training, publications, professional recommendations, and prior achievement (student ratings, etc.) in teaching. Course content will be evaluated on the basis of course syllabi, and choice of readings. Quality of presentation will be assessed on the basis of student evaluations.

Courses Open for Recruitment, Academic Year 2019-2020:
TTP 289A-003, Discrete Choice Modeling, Fall Quarter 2019.

Course Objectives:

  • To understand the behavioral, statistical, and econometric foundations for the formulation and estimation of discrete choice models.
  • To explore a variety of discrete choice models and their application to travel demand forecasting and related subjects.
  • To gain experience in the formulation, interpretation, and evaluation of discrete choice models using empirical data.