Date Posted: 09/28/2021
Closing Date: 11/30/2021, 11:59PM ET
Req ID: 9221
Job Category: Faculty – Tenure Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus:St. George (Downtown Toronto)
Description:
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 Computational Finance. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2022.
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 computational finance whose research and teaching interests complement and strengthen our existing departmental research areas https://www.statistics.utoronto.ca/research. Research topics of interest include but are not limited to, statistical learning for finance, reinforcement learning, systemic risk and network models, high-frequency financial data, algorithmic trading, robust finance, stochastic control problems, stochastic games, mean field games, optimal transport, and Monte Carlo methods.
The successful candidate will be expected to pursue innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program. Experience working with, teaching, or mentoring diverse groups or diverse students is an asset.
Candidates must provide evidence of research excellence which can be 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 teaching statement, sample course materials, and the teaching evaluations submitted as part of the application, 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/19805 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 therefore must 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, dated and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.
All application materials, including signed reference letters, must be received by November 22, 2021.
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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
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, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.
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.