iCity Postdoctoral Fellow in Ontologies for Transportation

Job Summary
The focus of this Post Doctoral position is to participate in a major new research initiative at the
University of Toronto Transportation Research Institute (UTTRI), entitled iCity. iCity is a virtual
lab for urban design that will develop and apply advanced data, analysis and visualization
capabilities to find innovative ways to improve urban transportation system performance and
design efficient, sustainable cities for the well-being of individuals and society. The Post
Doctoral fellow in Ontologies for Transportation will play a leading role in several research
projects within the iCity initiative in topic areas such as complete streets, urban parking, transit
management, and urban transportation economics and land use/transportation modelling. The
primary responsibilities of the Post Doctoral Fellow will be to:

a) Collaborate with a team of professors, post-doctoral fellows, and graduate student
researchers at the Univ. of Toronto, Univ. of Waterloo and Ontario College of Art & Design.
b) Provide day-to-day management of several research projects, in coordination with Prof. Eric
Miller (iCity Director), Prof. Mark Fox (Urban Informatics theme co-leader) and other
professors that are leading the individual projects.
c) Participate in the supervision of graduate students.
d) Produce publishable research outcomes.
e) Participate in teaching/training and research dissemination.
The appointment could begin as early as September 1, 2015, but this date could be postponed
depending on the situation of the candidate. The terms of the appointment are for one year with
the option to renew for a second year.

Qualifications:
Requirements include a Ph.D. in computer science or computer engineering focussing on
artificial intelligence, strong knowledge representation skills, strong software engineering skills,
an interest in transportation systems analysis and design, data collection and project
management; excellent oral and written communication skills in English; and a strong
publication record.
Preferred qualifications include experience in data collection, data management, transportation
modelling skills, visualization and project management experience. Direct research experience in
topic areas of complete streets, urban parking, transit management, urban transportation
economics and land use/transportation modelling is an asset, but not required.

How to Apply:
Candidates are requested to provide by email a cover letter, a detailed CV, a one-page statement
of research interests, and the names and contact information for three references to Judy
Farvolden, University of Toronto Transportation Research Institute, University of Toronto
(judy.farvolden<στο>utoronto.ca).

Application Deadline: November 30, 2015