The Department of Computer
Science at the University of Toronto invites applications for a tenure-stream
position in the area of Machine Learning. The appointment is at the rank of
Assistant Professor and will begin on July 1, 2013.
Candidates should have (or be about to receive) a Ph.D. in Computer Science or
a related field. We seek outstanding applicants with demonstrated excellence in
research at the highest level and with potential for excellence in
undergraduate and graduate teaching.
Salaries are competitive with our North American peers and will be determined
according to experience and qualifications. Toronto is a vibrant and
cosmopolitan city, one of the most desirable in the world in which to work and
live, and a major centre for advanced computer technologies.
The Department of Computer Science is an international leader in research and
teaching, with recognized strength in most areas of Computer Science. The
department also has close interdisciplinary ties to other units within the
University and strong interactions with the computer industry.
Applicants should provide a curriculum vitae, a list of publications, a research and teaching
statement, and the names and email addresses of at least three references.
Other supporting materials may also be included. We will not accept
applications submitted by post. If you have any questions regarding this
position, please contact Sara Burns at firstname.lastname@example.org.
Review of applications will commence on January 7, 2013 and continue until the
position is filled. To ensure full consideration, applications should be
received by February 4, 2013.
For more information on the Department of Computer Science, see www.cs.toronto.edu.
The University of Toronto is
strongly committed to diversity within its community and especially welcomes
applications from visible minority group members, women, Aboriginal persons,
persons with disabilities, members of sexual minority groups, and others who
may contribute to the further diversification of ideas.
All qualified candidates are
encouraged to apply; however, Canadians and permanent residents will be given