Machine Learning faculty openings: University of Toronto

Several faculty members will be attending NIPS this week, and available
for informal discussions:
David Duvenaud, Sanja Fidler, Roger Grosse, Dan Roy,
Raquel Urtasun, and Richard Zemel
Five positions are available immediately. Two are joint tenure-stream
Assistant Professor appointments in the Department of Computer Science
(51%) and the Department of Statistical Sciences (49%). We are
interested in candidates in all areas of computer science and
statistical sciences that touch upon data visualization and analytics
in the broadest possible sense, including machine learning. A third
position is in all areas of computer science that touch upon cognitive
science in the broadest possible sense. The final two positions are for
robotics candidates: the Department of Mathematical and Computational
Sciences at the University of Toronto Mississauga invites applications
for two tenure-stream positions at the rank of assistant and associate
professor in the area of robotics, again in the broadest possible sense.
These positions are part of a multi-year expansion in machine learning
at the University of Toronto. We seek candidates with research
interests and experience in the theory and application of machine
learning methods, with substantial publication records and strong
research potential. Candidates from all areas of machine learning will
be considered. Multiple positions will be available.
If you are attending NIPS and would like to know more about these
positions, please contact one of us.