Assistant Professor, Teaching Stream - Data Science

University of Toronto; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

L'Université de Toronto recherche un Assistant Professor à temps plein pour le Département des Sciences Statistiques. Ce poste est conçu pour un candidat engagé envers l'excellence pédagogique et l'innovation dans l'enseignement. Le candidat idéal aura un doctorat et une expérience avérée dans l'enseignement des statistiques et de la science des données. Le poste débute le 1er juillet 2026, offrant une opportunité de contribuer significativement à l'éducation et à la recherche interdisciplinaire.

Qualifications

• PhD requis au moment de l'embauche.
• Compétences en enseignement et innovation pédagogique.
• Expérience en gestion de cours et collaboration interdisciplinaire.

Responsibilities

• Enseigner les statistiques et la science des données au niveau de premier cycle.
• Développer des cours et créer des ressources pédagogiques en ligne.
• Superviser des recherches de premier cycle et gérer les TAs.

Skills

Teaching Excellence

Curriculum Development

Statistical Methods

Machine Learning

Data Science

Education

PhD in Statistics or related field

Job description

Date Posted: 07/14/2025
Closing Date: 11/17/2025, 11:59PM ET
Req ID: 44011
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)

Description:

The Department of Statistical Sciences at the University of Toronto invites applications for a full-time teaching stream position at the rank of Assistant Professor, with an anticipated start date of July 1, 2026.

This position aligns with the University's commitment to diversity and equity, especially encouraging candidates from Black, Indigenous, and other Racialized communities to apply.

The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a related discipline by the time of appointment, with a demonstrated record of teaching excellence.

We seek candidates whose teaching interests will complement and enhance our department’s strengths in education. Applicants should have experience in teaching statistics, biostatistics, or data science at the undergraduate level, including course design, delivery, curriculum development, and online materials creation.

Candidates must show a commitment to pedagogical excellence and innovation, with interests in advancing teaching practices and curriculum development. Expertise in applying statistical methods in data science, machine learning, or AI is required, along with experience in real-world data applications and interdisciplinary collaboration.

Preferred qualifications include supervising undergraduate research, managing large courses and TAs, and a collaborative approach to teaching.

Evidence of teaching excellence should be demonstrated through awards, presentations, a comprehensive teaching dossier, and strong references.

Salary will be commensurate with qualifications and experience. All application materials, including a cover letter, CV, teaching dossier, and reference letters, must be submitted via Academic Jobs Online by November 17, 2025.

The university values diversity, equity, and inclusion, and encourages applications from underrepresented groups. For accommodations during the application process, contact [e-mail].