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

Postdoctoral fellowship in combining numerical models and machine learning to study the evolution of the Salish Sea

University of British Columbia, Vancouver, Canada

Applications are invited for a two-year postdoctoral fellowship at the University of British Columbia 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), 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@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 (UBC, Dept. of Earth, Ocean and Atmospheric Sciences), Raymond Ng (UBC Dept. of Computer Science) and Matias Salibian-Barrera (UBC. Dept. of Statistics).

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.