At a Glance
- Tasks: Teach and research in statistics, biostatistics, or machine learning at a leading university.
- Company: University of Ottawa, the largest bilingual university in North America.
- Benefits: Tenure-track position with opportunities for professional growth and free bilingual training.
- Other info: Bilingualism is valued; support for language training provided.
- Why this job: Join a vibrant academic community and make an impact in the field of statistics.
- Qualifications: PhD in statistics or related field, with teaching and research experience.
The predicted salary is between 82800 - 101200 $ per year.
- University of Ottawa – Assistant Professor in Statistics
- Position Title Assistant Professor in Statistics
Duties and Responsibilities
The Department of Mathematics and Statistics at the University of Ottawa invites applications for a tenure-track position in statistics, biostatistics, or machine learning at the Assistant or Associate Professor level, starting July 1, 2027.
Position Qualifications
Skills requirements
- Education: Ph D or equivalent in statistics or a closely related field.
- Work experience: Candidates should have a proven record of research excellence, be able to teach at the undergraduate and graduate levels, and have the desire and ability to supervise graduate students.
- Bilingualism: The University of Ottawa is proud to be the largest bilingual English-French university in North America and considers bilingualism a defining feature of the institution.
The candidate is expected to be able to function and teach in both official languages by the time of tenure.
The University is delighted to offer free training to support this aim.
Preference may be given to candidates who are able to teach in French at the time of hiring.
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Assistant Professor in Statistics in Ottawa employer: Statistics Interest Group
The University of Toronto is an exceptional employer for those seeking to advance their academic careers in Data Science. With a strong commitment to innovation, equity, and diversity, the university fosters a collaborative work culture that encourages independent research and teaching excellence. Employees benefit from extensive professional development opportunities, a vibrant academic community, and the chance to make a significant impact in the field of data science.
