|Position ID:||University of Toronto-Statistical Sciences-SPTSTAT [#8319, SPTSTAT]|
|Position Title:||Assistant Professor, Spatial Temporal Modelling & Statistical Sciences|
|Position Location:||Toronto, Alberta M5S 3G3, Canada [map]|
|Subject Areas:||Mathematics, Statistics, and Computer Science|
Risk Management and Insurance
|Appl Deadline:||2016/12/15 (posted 2016/10/17, listed until 2017/04/17)|
The University of Toronto invites applications for two
tenure-stream appointments in Statistical Science, one with the undergraduate
Department of Statistical Sciences, University of Toronto St. George (UTSG),
and one with the undergraduate Department of Computer and Mathematical
Sciences, University of Toronto Scarborough (UTSC). Both positions are
affiliated with the tri-campus graduate Department of Statistical Sciences. Both appointments are
at the rank of Assistant Professor and will commence July 1, 2017.
* For the UTSG position we seek candidates from all areas of the statistical sciences that touch upon spatial-temporal modeling.
* For the UTSC position we seek exceptional candidates from all areas
of the statistical sciences.
must have a PhD in Statistics, Biostatistics or a closely related field by the
time of appointment or shortly thereafter, and must demonstrate excellence in
teaching and research. Evidence in research excellence will be demonstrated by
publications in top ranked and field-relevant academic journals, presentations
at top conferences, research awards and accolades, and strong endorsements by
referees of top international stature. A dossier containing a strong statement
of teaching philosophy, teaching accomplishments and evaluations will
demonstrate teaching excellence, as well as strong letters of reference.
material should be received by the closing date of December 15, 2016.
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.