The Department of Statistics and Actuarial Science in the Faculty of Mathematics at the University of Waterloo invites applications for four tenure-track faculty positions in Statistics, Biostatistics or Data Science. If circumstances warrant, appointments at Associate or Full Professor with tenure may be considered. Candidates must have a PhD in Statistics, Biostatistics or a related area and have potential or proven ability to develop an internationally recognized research program. Candidates should also have excellent communications skills and a strong commitment to teaching at the graduate and undergraduate levels. The expected start date for these positions is July 1, 2024, though the actual start date is flexible. Note that this search complements the other advertisement the department currently has for two positions in the areas of Actuarial Science or Quantitative Finance. The salary range for these positions is $120,000 to $170,000, commensurate with qualifications and experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.
The University of Waterloo is one of Canada’s leading universities with over 40,000 full and part-time students in undergraduate and graduate programs. The Department of Statistics and Actuarial Science is one of the top academic units for the statistical and actuarial sciences in the world and is home to over 50 research active full-time faculty and more than 200 graduate students in programs including Statistics, Biostatistics, Data Science, Actuarial Science and Mathematical Finance. The department offers a vibrant research environment for a wide range of areas and benefits from close relationships with many research groups on campus including the Waterloo Artificial Intelligence Institute, the School of Public Health Sciences, the Waterloo Climate Institute, and the Centre for Theoretical Neuroscience.
Interested individuals should apply using MathJobs. Applications should include a cover letter, a curriculum vitae, research and teaching statements, teaching evaluation summaries (if available) and up to three reprints/preprints of publications. In addition, applicants should arrange to have at least three reference letters submitted on their behalf. The application deadline is November 15, 2023.
If you have any questions regarding these positions, the application process, assessment process, or eligibility, please contact
Professor Changbao Wu, Chair
Department of Statistics and Actuarial Science
University of Waterloo
Waterloo ON N2L 3G1, CANADA
All qualified candidates are encouraged to apply. However, Canadian citizens and permanent residents will be given priority.
Commitment to Equity, Diversity and Inclusion
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office.
The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as Indigenous peoples (e.g., First Nations, Métis, Inuit/Inuk), Black, racialized, people with disabilities, women and/or 2SLGBTQ+.
The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview or workplace accommodation requests, please email Professor Changbao Wu.
Three additional reasons to apply.