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Saman Muthukumarana

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Postdoctoral Fellowship in Bayesian Computation, Computer Experiments, and Predictive Coding University of Manitoba in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral fellowship with a salary of at least $55,000 per year.

Deadline

Sep 30, 2026

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Country

Canada

University

University of Manitoba

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Keywords

Computer Science
Mathematics
Uncertainty Analysis
Gaussian Processes
Bayesian Statistics
Hierarchical Modeling
Statistics
Physics

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About this position

Postdoctoral Fellowship at the University of Manitoba in Bayesian Computation, Computer Experiments, and Predictive Coding.

This interdisciplinary postdoctoral opportunity combines Bayesian statistics, computational methods, physics-based simulations, and predictive coding. The research themes include MCMC, HMC, SMC, Bayesian calibration, uncertainty quantification, Gaussian processes, hierarchical models, and emerging energy-efficient computing approaches.

The position is located in Canada and offers a salary of at least $55,000/year. The anticipated start date is November 2026.

Interested applicants should contact Saman Muthukumarana, Max Turgeon, or Robert Stamps by September 30, 2026. Applicants should include a CV and the names and contact information of three references with their expression of interest.

Funding details

Postdoctoral fellowship with a salary of at least $55,000 per year.

What's required

Applicants should be interested in Bayesian statistics, computational methods, physics-based simulations, predictive coding, MCMC/HMC/SMC, Bayesian calibration, uncertainty quantification, Gaussian processes, hierarchical models, and emerging energy-efficient computing approaches. The post asks interested candidates to submit a CV and the names and contact information of three references.

How to apply

Email Saman Muthukumarana, Max Turgeon, or Robert Stamps by September 30, 2026. Include a CV and the names and contact information of three references in your expression of interest.

More information can be found here

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