University of Waterloo, Statistics and Actuarial Science

Position ID: UWSAS-STATS_21 [#18763]
Position Title: Six Positions in Statistics, Biostatistics or Data Science
Position Type: Tenured/Tenure-track faculty
Position Location: Waterloo, Ontario N2L 3G1, Canada [map]
Subject Areas: Statistics, Biostatistics or Data Science
Starting Date: 2022/07/01
Application Deadline: 2021/11/30 11:59PMhelp popup (posted 2021/10/26, listed until 2021/11/30)
Position Description:    

DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE UNIVERSITY OF WATERLOO 
Six Positions in Statistics, Biostatistics or Data Science 

The Department of Statistics and Actuarial Science in the Faculty of Mathematics at the University of Waterloo is in an exciting period of expansion due to a major investment in the Department by the University. Applications are invited for up to 6 tenure-track Assistant Professor faculty positions in Statistics, Biostatistics or Data Science. If circumstances warrant, appointments at Associate or Full Professor 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, 2022 though the actual start date is flexible. Note that this search complements other advertisements the Department currently has for a number of positions in the areas of Actuarial Science or Quantitative Finance. 

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 close to 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 including statistical theory, applied probability, analysis of longitudinal and event history data, causal inference, methods for incomplete data, statistical learning, data science, computational statistics, finance and risk management, survey methods, industrial statistics, and interdisciplinary collaborative work. The department benefits from close relationships with many research groups on campus including the Survey Research Centre, the Business and Industrial Statistics Research Group, the Waterloo Artificial Intelligence Institute, the School of Public Health Sciences, the Interdisciplinary Centre on Climate Change, and the Centre for Theoretical Neuroscience. Faculty have access to a wide array of computational resources including access to regional and national high performance and super computing resources like SHARCNET, Compute Canada, and Scinet.

Interested individuals should apply using MathJobs (www.mathjobs.org/jobs). Applications should include a cover letter, a curriculum vitae, research and teaching statements, teaching evaluation summaries (if available) and up to three reprints/preprints. In addition, applicants should arrange to have at least three reference letters submitted on their behalf. Optionally, candidates may provide a link to any online videos where they explain their research, give a research seminar, or teach. Completed applications will be reviewed on an ongoing basis. The application deadline is November 30, 2021. The salary offered will be commensurate with qualifications and experience. The salary range for these positions is $120,000 to $170,000. Negotiations beyond this salary range will be considered for exceptionally qualified candidates. 

If you have any questions regarding these positions, the application process, assessment process, or eligibility, please contact 

Stefan Steiner, Chair 
Department of Statistics and Actuarial Science 
University of Waterloo 
200 University Avenue West 
Waterloo ON N2L 3G1, 
CANADA 
sas-chair@uwaterloo.ca 

All qualified candidates are encouraged to apply; however, Canadians 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. (https://uwaterloo.ca/human-rights-equity-inclusion/indigenousinitiatives). 

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 contact Stefan Steiner – contact information given earlier.

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Application Materials Required:
Submit the following items online at this website to complete your application:
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Further Info:
https://uwaterloo.ca/statistics-and-actuarial-science/opportunitieshttps://uwaterloo.ca/statistics-and-actuarial-science/opportunities
 
University of Waterloo
200 University Avenue West
Waterloo, Ontario
N2L 3G1

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