[cmath] Tenure-Stream Position in Statistical Science - University
of Toronto, Department of Statistics
Alan Kelm
akelm at cms.math.ca
Mon Oct 27 14:42:35 EDT 2008
Tenure-Stream Position in Statistical Science
Department of Statistics, University of Toronto
Position/Title Rank: Assistant Professor
Division: Faculty of Arts & Science
Department: Department of Statistics
Deadline/Closing Date: January 9, 2009
The Department of Statistics, University of Toronto, invites applications
for a tenure-stream appointment in the field of statistical science. The
appointment will be at the rank of Assistant Professor and will begin on
July 1, 2009.
We are seeking candidates with: expertise in statistical science;
demonstrated excellence in scholarly research; and a commitment to
excellence in graduate and undergraduate teaching in statistical science.
Applicants with expertise in major areas, including biostatistics,
environmental statistics, computational statistics, data mining,
genetics/genomics, image analysis, industrial statistics, machine
learning, are especially encouraged to apply. The successful candidate
should hold a Ph.D. or equivalent degree in statistics or a related
discipline.
The ideal candidate must be an independent researcher with the capability
of developing a research program and undertake graduate supervision.
Salary will be commensurate with qualifications and experience.
DEPARTMENT OF STATISTICS
The Department has an international reputation in the areas of statistical
theory and statistical computing. The prestigious COPSS Award, the highest
international research honour in statistics, has only been awarded to
resident Canadians three times; and all of these were at the University of
Toronto. The University of Toronto is the leading research-intensive
university in Canada and offers a range of support to early career
faculty. It is located in the heart of downtown Toronto, a vibrant city of
over 2 million inhabitants.
The Department of Statistics has an outstanding complement of 22 faculty
members and is one of six institutional sponsors of the National Institute
for Complex Data Structures - an organization that builds
interdisciplinary research teams with statistical leadership. It is also
involved with the Fields Institute for Mathematical Sciences and has a
close relationship with Biostatistics in the School of Public Health on
campus. We offer courses in actuarial science, probability theory, applied
statistics, statistical computation and theoretical statistics at both the
undergraduate and graduate level. The department serves as a focal point
for statistical teaching, research and consulting at the university.
For more information on the Department of Statistics at the University of
Toronto, visit the department's web site at http://www.utstat.utoronto.ca
TO APPLY
Candidates should submit a curriculum vitae, a covering letter outlining
current and future research interests, examples of publications and a
teaching statement. Applicants should also arrange for three letters of
reference to be submitted directly to:
Faculty Search Committee
Department of Statistics
University of Toronto
100 St. George Street, 6th Floor
Toronto, Ontario M5S 3G3 CANADA
Email: stats-search at utstat.toronto.edu
We encourage you to submit your application online
Please visit: http://www.jobs.utoronto.ca/faculty
Reference Job # 0801176
If you are unable to apply online (or alternatively have large documents
to send), please submit your application and other materials to the above
address. To ensure full consideration in the search, all application
materials, including the recommendation letters, must be received by
January 9, 2009.
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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This employment position is among those listed in the Employment section
of the CMS website:
http://cms.math.ca/Employment
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