|Position ID:||University of Toronto-Department of Computer Science-APML [#8472]|
|Position Title:||Assistant Professor - Machine Learning|
|Position Type:||Tenured/Tenure-track faculty|
|Position Location:||Toronto, Ontario M5S 3G4, Canada [map]|
|Subject Area:||Computer Science|
|Appl Deadline:||2016/12/05 (posted 2016/11/01, listed until 2017/05/01)|
The Faculty of Arts and Science at the University of Toronto invites applications for a joint tenure-stream appointment in the Department of Computer Science (51%) and the Department of Statistical Sciences (49%) in Machine Learning. The appointment will be at the rank of Assistant Professor and will begin on July 1, 2017.
We are interested in candidates in all areas of computer science and statistical sciences that touch upon machine learning in the broadest possible sense. We are especially interested in exceptional candidates who transcend traditional computing and statistics research topics and complement our existing strengths.
Candidates must have a Ph.D. in computer science or statistical sciences or a related field by the date of appointment or shortly thereafter.
Evidence of excellence in research and teaching at the highest international levels is required. Excellence in research will be evidenced primarily by publications in top ranked field relevant journals, awards and accolades, presentations at significant conferences, and strong reference letters by referees of top international stature. Teaching excellence will be demonstrated by awards and accolades, teaching accomplishments as well as strong endorsements by referees.
The University of Toronto is an international leader in computer science and statistical sciences research and education, and the two departments have a long history of joint faculty appointments and collaborations spanning several decades. Successful candidates are expected to pursue innovative research at the highest international level; to establish a strong, externally funded independent research program; to have a strong commitment to undergraduate and graduate teaching; and to contribute to the enrichment of both undergraduate and graduate programs in the two departments.
Salaries will be commensurate with qualifications and experience, and is competitive with our North American peers.
Applicants should apply online through AcademicJobsOnline, https://academicjobsonline.org/ajo/jobs/8472 , and include a curriculum vitae, a list of publications, and research and teaching statements. Applicants should also arrange to have at least three letters of reference (on letterhead and signed) uploaded through AcademicJobsOnline directly by the writers.
Review of applications will begin after December 5, 2016 but the position will remain open until filled.
For more information about the Department of Computer Science see our website at www.cs.toronto.edu or contact Sara Burns at email@example.com. For more information about the Department of Statistical Sciences see our website at www.utstat.utoronto.ca or contact Christine Bulguryemez at firstname.lastname@example.org.
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.