In addition to the CANSSI Distinguished Postdoctoral Fellowship Program, we have connections with institutions that provide further opportunities for postdoctoral fellows. Explore the opportunities below or click the button for a list of faculty and staff employment opportunities.

Postdoctoral Research Associate | University of Regensburg | Apply by December 12, 2022

“We are seeking applications for a three-year Postdoctoral Research Associate post to work in the newly established Computational Statistics group in the recently founded Faculty of Informatics and Data Science at the University of Regensburg (Germany).

“In this post you will develop novel designs for the evaluation of algorithms and medical devices and will also get involved in the teaching activities of the group. Experience of teaching and programming skills using software such as R are desirable, but training on these aspects of the job can be provided. The post is offered for a three-year period in the first instance.”

To apply, please send a cover letter and CV to, and for informal inquiries please contact Professor Thomas Jaki (

Full details about the position can be found here.

Application deadline: December 12, 2022

Starting date: January 1, 2022, or as soon as possible thereafter.

Postdoctoral Fellowship in Statistical Modelling and Computation for Bayesian Adaptive Trials | McGill University | Consideration of applications begins December 1, 2022

Applications are invited for a postdoctoral position in Statistical Modelling and Computational Methods for Design and Analysis of Bayesian Adaptive Trials in the Department of Epidemiology and Biostatistics at McGill University in Montreal. The successful applicant will develop statistical models and computational techniques to be applied in a real clinical trial design setting. 

This is a one-year (12-month) position with the possibility of renewal. The position is available immediately with a preferred start date of May 1, 2023. The salary will be 70,000 CAD per year plus benefits. Additional funding is also available to support research-related travel, including collaborative meetings and the dissemination of research results at meetings, conferences or workshops. 

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Postdoctoral Associate in Statistical Data Science with Applications to Wildland Fire Science and Management | University of Western Ontario | Apply by December 15, 2022 (extended)

This position has been reposted with an extended application deadline and start date.

The Department of Statistical and Actuarial Sciences at the University of Western Ontario invites applicants to apply for a position as a Postdoctoral Associate in Statistical Data Science. The successful applicant will develop and apply statistical/biostatistical tools for the modelling of complex spatio-temporal data for environmental and other processes with an emphasis on collaborative research on wildland fire science and management.

This is a one-year (12-month) position with the possibility of renewal. The position is available immediately, but the start date is flexible. The preferred start date is on or before May 1, 2023. The salary will be $60,000 per year plus benefits.

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CRM StatLab–CANSSI Postdoctoral Fellowship 2023–2024 | Apply by January 31, 2023

A CRM StatLab–CANSSI Postdoctoral Fellowship 2023–2024 in statistics is available to candidates working under the supervision of at least one member of the CRM StatLab (list) in Montreal. Applications are due by January 31, 2023, for a single position beginning April 1, 2023. CRM StatLab, CANSSI, and the supervisor(s) will ensure a minimum salary of $53,000.

Candidates graduating from institutions outside of Quebec are especially encouraged to apply.

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Postdoctoral Fellowship in Ecological Modelling | University of Victoria | Apply by November 7, 2022

Applicants are invited for a Postdoctoral Fellowship in Ecological Modelling. The successful applicant will develop and apply statistical tools for the modelling of capture-recapture data of Lake Sturgeon in the Saskatchewan River in a collaborative research environment. 

Location: University of Victoria

Apply by: November 7, 2022

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Postdoctoral Position in Data Privacy | University of Alberta | Screening of applications will begin immediately

A postdoctoral fellowship in statistics is available to work with Dr. AnneSophie Charest and Dr. Bei Jiang in the Department of Mathematical and Statistical Sciences at the University of Alberta. The successful applicant will have a PhD in Statistics, Biostatistics, Mathematics, or a related field and have research interestsor be able and willing to cultivate thesein statistical disclosure control methods for data privacy.

Location: Edmonton, Alberta
Deadline: Screening of applications will begin immediately (posted September 9, 2022)

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Étudiant au doctorat recherché en biostatistique | PhD student in biostatistics | Université de Montréal, Université Laval | Received July 27, 2022

(English below)

Les professeurs de biostatistique Mireille Schnitzer (Université de Montréal) et Denis Talbot (Université Laval) acceptent actuellement des candidatures pour un poste d’étudiant au doctorat qui débutera au plus tôt en janvier 2023. Le candidat retenu s’inscrira à un programme de doctorat dans l’une de ces institutions, suivra les cours requis et effectuera des recherches sur le développement de méthodologie statistique liée à l’inférence causale et l’estimation doublement robuste dans le contexte de l’évaluation de l’efficacité des vaccins contre le COVID-19. Le candidat recherché doit avoir (ou être en train de terminer) une maitrise en statistique, biostatistique ou dans un domaine étroitement lié.

Les candidats intéressés doivent contacter les professeurs Schnitzer ( et Talbot ( avec leur CV, leurs relevés de notes universitaires et un court message décrivant leur intérêt.

Biostatistics Professors Mireille Schnitzer (Université de Montréal) and Denis Talbot (Université Laval) are currently accepting candidatures for a doctoral student starting January 2023 or afterwards. The successful candidate will enroll in a doctoral program at one of these institutions, complete required coursework, and carry out research on developing statistical methodology related to causal inference and doubly robust estimation in the context of evaluating COVID-19 vaccine effectiveness. Candidates should have (or be completing) a master’s degree in statistics, biostatistics, or a closely related field.

Interested candidates should contact Professors Schnitzer ( and Talbot ( with their CV, university transcripts, and a short message describing their interest.

Mitacs Open Projects Internship Opportunities: Building Critical Thinking and Data Analytics Capabilities at Rural and Urban Schools | Preferred start date January 2, 2023

Mitacs has multiple opportunities for academic supervisors and interns.

Location: Ontario, Canada, or remote work, Canada
Deadline: Preferred start date is January 2, 2023

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Mitacs Open Projects Opportunities | Ongoing

Mitacs offers various internship opportunities for graduate students and postdoctoral fellows.

Location: Canada
Deadline: Multiple

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Postdoctoral Position in Biostatistics | HEC Montreal, University of Minnesota | Screening of applications underway

HEC Montreal and the University of Minnesota are offering a postdoctoral fellowship in statistical genetics, or in machine learning with applications in genetics, with emphasis on Bayesian matrix factorization for genomic data imputation.

Location: Montreal, Quebec, or Minneapolis, Minnesota
Deadline: Screening of applications will continue until position is filled

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Postdoctoral Opportunity in Biostatistics | Dalhousie University | Screening of applications underway

The Department of Community Health and Epidemiology in the Faculty of Medicine at Dalhousie University invites applicants for a postdoctoral opportunity in biostatistics, with emphasis on Bayesian spatial modeling and disease mapping. This is a one-year position with a possible extension to three years.

Location: Halifax, Nova Scotia
Deadline: Screening of applications will continue until position is filled

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