[ES_JOBS_NET] Assistant Professor (tenure stream) in data science for climate / global environmental change, University of Toronto

[Christine Wiedinmyer]

The Department of Statistical Sciences and the School of the Environment in
the Faculty of Arts and Science at the University of Toronto invite
applications for a full-time (51% Statistical Sciences, 49% School of the
Environment) tenure stream position in the area of statistical methods for
environmental science. The appointment will be at the rank of Assistant
Professor and will commence on July 1, 2020 or shortly thereafter. 

 

We are interested in candidates who demonstrate excellence in teaching and
research, with research interests in any area of data science related to
climate and global environmental change, particularly environmental time
series analysis; design and analysis of large-scale environmental monitoring
data; design and interpolation with computer experiments; uncertainty
quantification of complex mathematical models; decision analysis; estimation
of causal relationships; network analysis; extreme value estimation; and
remote sensing; and whose research and teaching interests complement and
strengthen our existing departmental strengths in Statistical Sciences  and
The School of the Environment.

 

Applicants must have earned a PhD degree in Statistics, Quantitative
Environmental Science or a related area by the time of appointment, or
shortly thereafter. Excellence in research is evidenced primarily by the
quality of published papers in top ranked and field-relevant academic
journals or forthcoming publications meeting high international standards,
the submitted research statement, presentations at conferences, research
awards and accolades, and strong endorsements by referees of top
international stature. Evidence for excellence in teaching is based on
strong letters of reference, teaching accomplishments and a teaching dossier
containing a strong statement of teaching philosophy, teaching evaluations
and sample syllabi.

 

 

The University of Toronto is an international leader in statistical science
and environmental science research and education. The successful candidate
will be expected to establish innovative and independent research at the
highest international level and to establish an outstanding, competitive,
and externally funded research program. The successful candidate will join a
vibrant intellectual community of world-class scholars at Canada's leading
university. The Greater Toronto Area offers amazing cultural and demographic
diversity and one of the highest standards of living in the world.

 

Salary will be commensurate with qualifications and experience.

 

Applicants are to apply online at AcademicJobsOnline
(https://academicjobsonline.org/ajo/jobs/14919) and submit a cover letter; a
current curriculum vitae; a list of publications or forthcoming
publications; a research statement outlining current and future research
interests; one sample article-length publication; and a teaching dossier to
include a teaching statement, sample course syllabi, and teaching
evaluations. Applicants must  also arrange to have at least three letters of
reference (on letterhead and signed) uploaded through AcademicJobsOnline
directly by the writers.

 

All application materials, including signed reference letters, must be
received by November 25, 2019.

For more information about the Department of Statistical Sciences or the
School of the Environment, please visit our websites at
https://www.statistics.utoronto.ca and https://www.environment.utoronto.caor
contact Katrina Mintis, Department of Statistical Sciences at
katrina.mintis at utoronto.ca <mailto:katrina.mintis at utoronto.ca>  and Stella
Kyriakakis, School of the Environment at stella.kyriakakis at utoronto.ca
<mailto:stella.kyriakakis at utoronto.ca> .

 

The University of Toronto is strongly committed to diversity within its
community and especially welcomes applications from racialized persons /
persons of colour, women, Indigenous / Aboriginal People of North America,
persons with disabilities, LGBTQ persons, 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.

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20191007/46e1bc6c/attachment.html>