Faculty Postings

Statistics - Teaching Stream - Contractually Limited Appointment

The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for up to two one-year Contractually Limited Term Appointments (CLTA) at the rank of Assistant Professor, Teaching Stream, in the field of Statistics. The appointments are expected to begin on September 1, 2020 and end on August 31, 2021.

Candidates must have at least a Masters degree in Statistics or a related discipline by the time of the appointment. A PhD is preferred. We seek candidates whose teaching interests complement and enhance our existing departmental strengths (see https://www.utm.utoronto.ca/math-cs-stats/home). Candidates must have a demonstrated record of teaching excellence that includes creating an enjoyable and educational experience for students and teaching undergraduate Statistics courses.


Candidates must have teaching expertise in a degree granting program at the undergraduate program level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Candidates must demonstrate experience with and commitment to excellent pedagogical practices, an interest in teaching-related scholarly activities, and strong organizational, interpersonal, and communication skills. Preference will be given to candidates who have experience engaging with students both in and out of a course setting (for example, running seminars, contests, workshops, and engaging with student-run initiatives); have experience contributing to departmental administration (for example, course coordination and managing TAs); and have experience supervising undergraduate or graduate research projects.

Evidence of excellence in teaching and pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong statement of teaching philosophy, sample course materials, and teaching evaluations, as well as strong letters of reference from referees of high standing.

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply through MathJobsOnline at https://www.mathjobs.org/jobs/list/16002. Applicants must submit a cover letter, a current curriculum vitae, a statement of career goals, and a teaching dossier that includes a teaching philosophy statement, course evaluations, and selected course materials. Applicants must also arrange to have at least three recent letters of reference (on letterhead, dated and signed) uploaded through MathJobsOnline directly by the writers, including at least two primarily addressing the candidate's teaching, by the closing date.

All application materials, including reference letters, must be received by July 20, 2020 . For enquiries, please contact Julia Martyn, Chair’s Assistant, at julia.martyn@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.

 

Part-time Lecturer (one-year term) - Statistics

The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for up to two part-time 67% appointments at the rank of Lecturer, for one year, in the field of Statistics. The appointments are expected to begin on August 1, 2020 and end on July 31, 2021.


Candidates must have at least a Masters degree in Statistics or a related discipline by the time of the appointment. A PhD is preferred. We seek candidates whose teaching interests complement and enhance our existing departmental strengths (see https://www.utm.utoronto.ca/math-cs-stats/home). Candidates must have a demonstrated record of teaching excellence that includes creating an enjoyable and educational experience for students and teaching undergraduate Statistics courses.


Candidates must have teaching expertise in a degree granting program at the undergraduate program level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Candidates must demonstrate experience with and commitment to excellent pedagogical practices, an interest in teaching-related scholarly activities, and strong organizational, interpersonal, and communication skills. Preference will be given to candidates who have experience engaging with students both in and out of a course setting (for example, running seminars, contests, workshops, and engaging with student-run initiatives); have experience contributing to departmental administration (for example, course coordination and managing TAs); and have experience supervising undergraduate or graduate research projects.

Evidence of excellence in teaching and pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong statement of teaching philosophy, sample course materials, and teaching evaluations, as well as strong letters of reference from referees of high standing.

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply through MathJobsOnline at https://www.mathjobs.org/jobs/jobs/15933. Applicants must submit a cover letter, a current curriculum vitae, a statement of career goals, and a teaching dossier that includes a teaching philosophy statement, course evaluations, and selected course materials. Applicants must also arrange to have at least three recent letters of reference (on letterhead, dated and signed) uploaded through MathJobsOnline directly by the writers, including at least two primarily addressing the candidate's teaching, by the closing date.

All application materials, including reference letters, must be received by June 8, 2020 . For enquiries, please contact Julia Martyn, Chair’s Assistant, at julia.martyn@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.

 

Computer Science - Teaching Stream - Contractually Limited Appointment

The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for up to four two-year Contractually Limited Term Appointments (CLTA) at the rank of Assistant Professor, Teaching Stream, in the field of Computer Science. The appointments are expected to begin on August 1, 2020 and end on July 31, 2022.

Candidates must have at least a Masters degree in Computer Science or a related discipline by the time of the appointment. A PhD is preferred. We seek candidates whose teaching interests complement and enhance our existing departmental strengths (see https://www.utm.utoronto.ca/math-cs-stats/home). Candidates must have a demonstrated record of teaching excellence that includes creating an enjoyable and educational experience for students and teaching undergraduate Computer Science courses. Candidates with experience teaching the introductory sequence, computer organization, theory of computing, or technical writing courses are preferred.

Candidates must have teaching expertise in a degree granting program at the undergraduate program level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Candidates must demonstrate experience with and commitment to excellent pedagogical practices, an interest in teaching-related scholarly activities, and strong organizational, interpersonal, and communication skills. Preference will be given to candidates who have experience engaging with students both in and out of a course setting (for example, running seminars, contests, workshops, and engaging with student-run initiatives); have experience contributing to departmental administration (for example, course coordination and managing TAs); and have experience supervising undergraduate or graduate research projects.

Evidence of excellence in teaching and pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong statement of teaching philosophy, sample course materials, and teaching evaluations, as well as strong letters of reference from referees of high standing.

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/16321. Applicants must submit a cover letter, a current curriculum vitae, a statement of career goals, and a teaching dossier that includes a teaching philosophy statement, course evaluations, and selected course materials. Applicants must also arrange to have at least three recent letters of reference (on letterhead, dated and signed) uploaded through AcademicJobsOnline directly by the writers, including at least two primarily addressing the candidate's teaching, by the closing date.

All application materials, including reference letters, must be received by June 10, 2020 . For enquiries, please contact Julia Martyn, Chair’s Assistant, at julia.martyn@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.

**************************************************************************************************

For faculty postings in cognate U of T units, please follow these links: