Sessional Lecturer - STA380H5S - Computational Statistics

Date Posted: 06/26/2025
Req ID: 43917
Faculty/Division: UofT Mississauga
Department: UTM: Math/Comp. Sciences
Campus: University of Toronto Mississauga (UTM)

 

Description:

  • Course number and title: STA380H5S, LEC101 - Computational Statistics     
  • Course description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an overview of some of the computational techniques that are useful in statistics. Topics include methods of generating random variables, Monte Carlo integration and variance reduction, Monte Carlo methods in inference, bootstrap and jackknife, resampling application, permutation tests, probability density estimation, and optimization.

  • Estimated course enrolment: 100

  • Number of positions: 1

  • TA support: 50 hrs per 35 students & per semester

  • Sessional dates of appointment: January 1, 2026 - April 30, 2026.

  • Salary: $15,000 per half-course 

  • Minimum qualifications: PhD in Statistics, completed or near completion. Exceptional candidates with a Masters in Statistics will be considered. Advanced comprehension of the subject matter as evidenced by research activity and/or advanced teaching experience. Strong organizational, interpersonal, and communication skills.

  • Preferred qualifications: Demonstrated evidence of excellence in teaching preferred. Preference will be given to candidates with demonstrable currency and mastery.

  • Description of duties:  Responsible for all aspects of delivering a university credit course including:  planning the lectures, tutorials, assignments and tests and marking schemes; providing appropriate contact time outside of class to students, through office hours, emails, etc.; invigilating the final exam; managing the grades and submitting the final course grades; dealing with student petitions, setting and grading a make-up exam if required.

  • How to apply: If interested, please reply to: jobsmcs.utm@utoronto.ca  with the following information: 1) CUPE 3902 (Unit 3) Employment Application Form: https://uoft.me/CUPE-3902-Unit-3-Application-Form; 2) your current CV; and 3) letter(s) of recommendation addressing your ability to teach.

  • Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.

Closing Date: 07/31/2025, 11:59PM EDT
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This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 

 

 

 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

 

 

 

 

 

 

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

 

 

 

 

 

 

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

 

 

 

 

 

 

 

 

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.


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