Associate Professor/Professor

This is a current listing of job announcements related to Statistics.
To submit a job for posting please use the Statistics Job Submission Form . Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make acorrectionregarding your job announcement, please contact jobs@stat.ufl.edu . University of Toronto, Department of Statistical Sciences – Associate Professor/Professor – Data Science Computation Position Title Associate Professor/Professor
- Data Science Computation Company Information Duties and Responsibilities POSITION 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 Data Science Computation or adjacent fields. The appointment will be at the rank of Associate Professor or Professor, with an anticipated start date of July 1, 2027. This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). 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. RESPONSIBILITIES Candidates 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 program. In addition, the successful candidate will be assigned a teaching and service load. Position Qualifications REQUIREMENTS AND QUALIFICATIONS Applicants must have earned a PhD degree in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, with a clearly demonstrated record of excellence in research and teaching in Data Science Computation or adjacent fields. We are seeking exceptional candidates whose research advances the theoretical and methodological foundations of computation in data science, including, but not limited to, sampling and simulation, computational inference, optimization, randomized numerical methods, and scalable algorithms for high-dimensional problems, with particular interest in statistical-computational tradeoffs, complexity, convergence, and theoretical guarantees. Candidates must have an established international reputation. We seek candidates whose research and teaching interests complement and strengthen our existing departmental research areas https://www.statistics.utoronto.ca/research. Candidates must provide evidence of research excellence, as 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 high standing. Evidence of excellence in teaching will be demonstrated through teaching accomplishments, the teaching dossier (including the required materials outlined below), and 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.

ABOUT US
For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca. For more information on working at the University of Toronto, please visit https://www.utoronto.ca/research-innovation/working-at-uoft. Salary Range The rank and salary will be commensurate with qualifications and experience. The salary range for this position exceeds $200,000 CAD per annum. Equity, diversity, and inclusion are essential to academic excellence as articulated in University of Toronto's Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity and inclusion and the promotion of a respectful and collegial learning and working environment. The University of Toronto has adopted the AAU Principles on Preventing Sexual Harassment in Academia, including the requirement that applicants release personnel information from prior employers regarding sexual misconduct. Full details and requirements can be found here. Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse