Statistics – Tenure-Track Faculty Position – McGill University

Posted 11 months ago
Location: Quebec
Date posted: 2023-09-01
Advertised until: 2023-10-01

The Department of Mathematics and Statistics at McGill University invites applications from outstanding investigators for a tenure-track position in the field of Statistics. The position, open as of August 1st, 2024, is targeted towards candidates with demonstrated expertise in the development of modern statistical theory and methods, or closely related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience doing inter-disciplinary research is an asset. The Department welcomes applications at the Assistant Professor level, but more senior applicants will be considered.

Qualifications: Candidates should hold a doctoral degree in Statistics or a related field at the date of appointment and must demonstrate competitive research and publication records, substantial teaching experience, and a strong potential for collaborative research, program development, and contribution to the scholarly community in general. Candidates must have the necessary background to contribute substantively to teaching core courses among the statistics program degree offerings.

Salary: Salary will be negotiable and commensurate with qualifications and experience.

Application Procedure: Applications should be made through McGill’s Workday at Tenure-Track Position in Statistics-Department of Mathematics and Statistics.

Please refer to the How to Apply for a Job (for External Candidates) for detailed instructions.

Required Documentation: A cover letter and curriculum vitae, including a list of publications, a research outline, a teaching statement which includes an account of teaching experience, and at least four letters of references, one of which specifically addressing the teaching record. Candidates are also encouraged to provide web links for up to five selected reprints or preprints.

Application Deadline: To ensure full consideration, complete applications should be received by October 20, 2023. Applications will be considered until the position is filled.

McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to engage productively with diverse communities.

At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.

McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.

McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence,

All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.

Job Features

Job CategoryTeaching and scientific research

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