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Job ID: 147533

Assistant Professor, Actuarial Science
University of Toronto


Date Posted Oct. 9, 2020
Title Assistant Professor, Actuarial Science
University University of Toronto
Toronto, ON, Canada
Department Statistical Sciences
Application Deadline Nov. 30, 2020
Position Start Date Jul. 1, 2021
 
 
  • Assistant Professor
  • Statistics & Actuarial Science
 
 

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream position in the area of Actuarial Science. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2021.

Applicants must have earned a PhD degree in Statistics or a related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We are seeking exceptional candidates with research interests in Actuarial Science including, but not limited to, insurance statistics, insurance data analytics, risk and loss modelling in insurance, or insurance risk management. Professional actuarial qualifications recognized by the Society of Actuaries and the Canadian Institute of Actuaries would be considered an important asset.

We seek candidates whose research and teaching interests complement and strengthen our existing departmental research areas https://www.statistics.utoronto.ca/research. The successful candidate will be expected to establish innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program.

Candidates must provide evidence of research excellence as demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees of high standing.

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier including a strong teaching statement, sample course materials, and teaching evaluations, as well as strong letters of reference.

Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/17122 and must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample (of no more than 15 pages); and a teaching dossier to include a teaching statement, sample course materials, and teaching evaluations. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates are therefore also asked to submit a 1‐2 page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

Applicants must also arrange to have three letters of reference (on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.

All applicant materials, including signed reference letters, must be received by November 30, 2020.

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or contact Katrina Mintis at katrina.mintis@utoronto.ca.

Caution: This ad is "posted only" to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position.


  • 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.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Katrina.mintis@utoronto.ca
    Statistical Sciences
    University of Toronto
    700 University Avenue
    Suite 9005
    Toronto, ON M5G 1X6
    Canada
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