[ES_JOBS_NET] Postdoctoral fellowship in combining numerical models and machine learning to study the evolution of the Salish Sea, Vancouver, British Columbia, Canada

[Waterman, Stephanie]

Postdoctoral fellowship in combining numerical models and machine learning to study the evolution of the Salish Sea
Vancouver, British Columbia, Canada

Applications are invited for a two-year postdoctoral fellowship at the University of British Columbia<https://www.ubc.ca/> to combine numerical models and machine learning to study the evolution of the Salish Sea. As part of Pacific Rim Ocean Data Mobilization and Technology (PRODIGY)<https://eoas-prodigy-2021.sites.olt.ubc.ca/>, the fellow will also contribute to the research, teaching, mentoring, and partner engagement initiatives of the PRODIGY training program, delivering advanced graduate and postgraduate training in ocean observation, prediction and knowledge mobilization.

For full details about the position, its requirements and additional details please see:
https://www.postdocs.ubc.ca/ad/57100

To apply, submit the following by email to prodigy at eoas.ubc.ca<mailto:prodigy at eoas.ubc.ca>: 1) a cover letter, outlining special areas of research interest, relevant teaching and research experience, and fit with the position as described at the link above; 2) a current CV; 3) the names of at least two references; and 4) sample research publications. Review of applications will begin immediately, and the position will remain open until filled, with a preferred start date of Sept. 1, 2023 or earlier.

Please direct questions to Drs.  Susan Allen<https://www.eoas.ubc.ca/people/susanallen> (UBC, Dept. of Earth, Ocean and Atmospheric Sciences), Raymond Ng<https://www.cs.ubc.ca/people/raymond-ng> (UBC Dept. of Computer Science) and Matias Salibian-Barrera<https://www.stat.ubc.ca/users/matias-salibian-barrera> (UBC. Dept. of Statistics).

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