Connectionists: Machine Learning faculty position at the University of Toronto

Richard Zemel zemel at cs.toronto.edu
Tue Dec 18 16:13:31 EST 2012


Dear Colleagues,

I would like to bring this faculty search to your attention.  The Computer
Science Department at the University of Toronto has some faculty positions
open this year: one is in Machine Learning, and one is in Computational
Biology, which could have a significant ML component.

The Machine Learning position is for any area within machine learning,
at the rank of Assistant Professor.

More information about the positions are available below.

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Richard Zemel                    Professor
Dept. of Computer Science        URL: www.cs.toronto.edu/~zemel
University of Toronto            Tel: (416) 978-7497
Toronto, ON  M5S 3H5  CANADA     Fax: (416) 978-1455
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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 apply online at http://recruit.cs.toronto.edu, and include
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 recruit at cs.toronto.edu.

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 priority.

-----------------------------

The Department of Computer Science and the Donnelly Centre for Cellular and
Biomolecular Research at the University of Toronto invite applications for a
tenure-stream position in Computational Biology or Bioinformatics. The
appointment is at the rank of Assistant Professor and will begin on July 1,
2013.

We seek outstanding applicants with demonstrated excellence in research at the
highest level and with the potential for excellence in undergraduate and
graduate teaching. Although we expect candidates to have a PhD and
postdoctoral training in the computational sciences (computer science,
computational biology and quantitative biology), exceptional candidates with
recent or imminently-expected PhDs will be also considered.

The Department of Computer Science is an international leader in research and
teaching, with recognized strength in most areas of computer science. The
Donnelly Centre is an interdisciplinary research institute at the University
of Toronto with the mandate to create a research environment that encourages
integration of biology, computer science, engineering and chemistry, and that
spans leading areas of biomedical research. The successful candidate will have
the opportunity to take advantage of the University's strengths in biology and
bioinformatics---and computational, medical and biological sciences more
broadly---and to facilitate further interaction with other units. To
facilitate such interactions, the successful candidate will hold a joint
appointment in the Department of Computer Science (51%) and in the Donnelly
Centre (49%).

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, medical and biological
technologies with strong ties to the University.

Applicants should apply online at http://recruit.cs.toronto.edu/, and include
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 recruit at cs.toronto.edu.

Review of applications will begin 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 and for the Donnelly Centre for Cellular and Biomolecular
Research see www.thedonnellycentre.utoronto.ca

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 priority.


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