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Associate Professor / Professor - Statistical Sciences

Applications are closed

  • Job
    Full-time
    Senior & Expert Level
  • Research & Development
    Education & Teaching
  • Toronto

Requirements

  • Applicants must have earned a PhD degree in Statistics, or a related area, with a clearly demonstrated outstanding record of excellence in research and teaching.
  • Candidates in all areas of Statistics will be considered, though candidates must have established strength in statistical theory and methods relevant to the health sciences.
  • The successful candidate will have a demonstrated capacity to contribute to an undergraduate curriculum in the health sciences, which may be demonstrated through teaching accomplishments and experience, a research agenda that addresses questions relevant to the health sciences, and endorsement from referees.
  • We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental research areas.
  • Candidates will have an established international reputation and will be expected to sustain and lead innovative and independent research at the highest international level, and to maintain an outstanding, competitive, and externally funded research program.
  • Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact contributions and publications in top-ranked and field-relevant journals, the submitted research statement, presentations at significant conferences, distinguished awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements from referees of top international stature.
  • Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier submitted as part of the application (with required materials outlined below), as well as strong letters of reference.
  • Candidates must also show evidence of a commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials.
  • The successful candidate will also have an appointment in the tri-campus Graduate Department of Statistical Sciences at the University of Toronto.
  • The successful candidate will be expected to contribute to and participate actively in the Graduate Department of Statistical Sciences.

Responsibilities

  • The successful candidate will have a demonstrated capacity to contribute to an undergraduate curriculum in the health sciences, which may be demonstrated through teaching accomplishments and experience, a research agenda that addresses questions relevant to the health sciences, and endorsement from referees.
  • Candidates will have an established international reputation and will be expected to sustain and lead innovative and independent research at the highest international level, and to maintain an outstanding, competitive, and externally funded research program.
  • The candidate is expected to contribute to initiatives associated with the new Scarborough Academy of Medicine and Integrated Health (SAMIH).
  • The successful candidate will also have an appointment in the tri-campus Graduate Department of Statistical Sciences at the University of Toronto.
  • The successful candidate will be expected to contribute to and participate actively in the Graduate Department of Statistical Sciences.

FAQs

What is the closing date for applications for this position?

The closing date for applications is November 19, 2024, at 11:59 PM ET.

What is the expected start date for the successful candidate?

The anticipated start date for the successful candidate is July 1, 2025.

What qualifications are required for applicants?

Applicants must have earned a PhD degree in Statistics or a related area, with a demonstrated record of excellence in research and teaching.

In what area must candidates have established strength?

Candidates must have established strength in statistical theory and methods relevant to the health sciences.

How should applicants demonstrate their research excellence?

Applicants should provide evidence of research excellence through high-impact publications, a research statement, presentations at significant conferences, awards, and endorsements from top international referees.

What materials need to be submitted as part of the application?

Applicants must submit a cover letter, current curriculum vitae, research statement, recent writing sample (up to 15 pages), and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations.

Are reference letters required for this position?

Yes, applicants must arrange for three recent letters of reference to be uploaded directly by the referees through Academic Jobs Online.

Is there a commitment to equity, diversity, and inclusion for applicants?

Yes, candidates must demonstrate a commitment to equity, diversity, and inclusion, as well as promote a respectful and collegial learning and working environment.

Will the successful candidate also have an appointment in another department?

Yes, the successful candidate will also have an appointment in the tri-campus Graduate Department of Statistical Sciences at the University of Toronto.

Where should applicants submit their applications?

Applicants should apply online through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/28818.

Is priority given to Canadians and permanent residents?

Yes, while all qualified candidates are encouraged to apply, Canadians and permanent residents will be given priority.

Mission & Purpose

Founded in 1827, the University of Toronto is Canada’s top university with a long history of challenging the impossible and transforming society through the ingenuity and resolve of our faculty, students, alumni, and supporters. We are proud to be one of the world’s top research-intensive universities, bringing together top minds from every conceivable background and discipline to collaborate on the world’s most pressing challenges. As a catalyst for discovery, innovation, and progress, we prepare our students for success through an outstanding global education and commitment to inclusive excellence. The ideas, innovations, and actions of more than 660,000 graduates advance U of T’s impact on communities across the globe.