Unit: University of Toronto Transportation Research Institute

Address: 35 St. George St., Toronto, Ontario, M5S 1A4

Term: March 1, 2017 (or soon thereafter) – December 31, 2018

Job Description:

The incumbent will be responsible for key research tasks within a collaborative research programme

between the University of Toronto and Trapeze, a transit software and services solutions provider. The

goal is to develop a cloud-based scheduling and planning solution that jointly optimizes both facets. As a

key member of the research team, using their scientific knowledge and experience, the incumbent will be

required to perform the following specific tasks:

 Overseeing the development and implementation of a joint optimization method for transit tactical route planning decisions with transit scheduling.

 Developing and implementing a simulation-based joint optimization method for route/crew/vehicle timetables with efficient transfers.

 Managing the development of a scheduling module as a cloud service.

 Guiding and overseeing undergrad and graduate students, and managing the development of project reports and research papers.

Position Requirements:

 PhD degree completed within the last five (5) years in a field related to transportation planning and operations.

 Demonstrated experience in transit planning and scheduling and the relevant quantitative methods used in research and practice.

 Experience in processing and analyzing transit data from Automated Data Collection Systems.

 Experience in simulation methods particularly as applied to transit system analysis.

 Knowledge and experience in optimization techniques and programming using optimization software, in particular ILOG CPLEX.

 Excellent oral and written communication skills.

 Excellent inter-personal skills.

Qualified candidates are asked to submit a cover letter, detailed curriculum vita and the names and

contact information of two referees to Dr. Siva Srikukenthiran at siva.srikukenthiran@mail.utoronto.ca.

Only those applicants considered for this position will be contacted.

Application Deadline: January 31, 2017.

 

attachement: