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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sciences

Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sciences

University of TorontoToronto, ON, CA
Il y a plus de 30 jours
Salaire
83 150,00 $CA – 123 458,00 $CA par an
Description de poste

Date Posted : 09 / 19 / 2024

Closing Date : 11 / 25 / 2024, 11 : 59PM ET

Req ID : 39525

Job Category : Faculty - Teaching Stream, Contractually Limited Term Appointment

Faculty / Division : Faculty of Arts & Science

Department : Department of Statistical Sciences

Campus :   St. George (Downtown Toronto)

Description :

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a contractually-limited term appointment (CLTA) in the field of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream for a one-year term with an anticipated start date of July 1, 2025.

This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage applicants from those communities to apply.

Applicants are required to have earned a Ph.D. in Statistics, Biostatistics, Data Science or a related field by the time of appointment or shortly thereafter. Alternatively, applicants are required to have (i) a Masters in Statistics, Biostatistics, Data Science or related field with (ii) at least 12 months of teaching experience with excellent performance in a degree-granting program / post-secondary institution, and (iii) demonstrated excellent scholarly or creative professional activity in areas such as, but not limited to, exemplary teaching practices, development of pedagogical software tools, course or curriculum development, or engagement with Statistics, Biostatistics and / or Data Science Education research.