Assistant Professor, Teaching Stream – Statistical Sciences

University of Toronto, Department of Statistical Sciences; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

The Department of Statistical Sciences at the University of Toronto seeks a full-time Assistant Professor in the Teaching Stream. This role focuses on teaching in statistical sciences and requires a PhD with a strong commitment to equity, diversity, and excellent pedagogical practices. The successful candidate will demonstrate excellence in teaching and contribute to a collegial learning environment.

Qualifications

• Strong record of excellence in teaching and pedagogical inquiry.
• Experience in degree-granting programs at the undergraduate level in Statistics.
• Ability to develop innovative course materials and curriculum.

Responsibilities

• Deliver lectures and develop curriculum for statistics courses.
• Supervise undergraduate research projects and manage teaching assistants.
• Collaborate with multidisciplinary teams on statistical projects.

Skills

Teaching experience

Pedagogical inquiry

Collaboration

Education

PhD in Statistics, Computer Science, Data Science or related area

Job description

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream 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 candidates from those communities to apply.

Applicants must have earned a PhD in Statistics, Computer Science, Data Science or a related area by the time of appointment, or shortly thereafter with a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and strengthen our existing .

Candidates must have teaching experience in statistics, biostatistics or data science in a degree-granting program at the undergraduate level for Statistics majors and those with a significant mathematical and computational component. This includes but is not limited to, lecture preparation and delivery, curriculum development, and development of online material / lectures. Additionally, candidates must possess a demonstrated commitment to excellence in pedagogical inquiry and a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities.

Candidates must have experience in course preparation including lectures, syllabus, assessments, activities, and delivery of innovative course materials using data from genuine applications of statistical methods. Candidates must also have experience in collaborating as a statistician or data scientist within a multidisciplinary team on projects involving genuine applications of statistical methodologies and a commitment to excellent pedagogical practices.

Candidates with an interest in supervising undergraduate research projects, experience teaching large classes and managing teaching assistants and experience collaborating with other instructors and teaching assistants on teaching are preferred.

Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application with required materials outlined below, 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 online at Academic Jobs Online, and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations. Equity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s . We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.

Applicants must also arrange to have three letters of reference ( dated, on letterhead and signed ) uploaded through Academic Jobs Online directly by the writers by the closing date. At least one reference letter must primarily address the candidate's teaching.

All applicant materials, including signed reference letters, must be received by November 25, 2024.