Postdoc opportunity with the Department of Statistics at the University of British Columbia, in partnership with Fisheries and Oceans Canada

We are seeking a highly motivated and skilled postdoctoral fellow to join a project focused on developing statistical models to understand the spatiotemporal distribution of marine mammals in the Arctic. The project will help the Canadian government identify key areas for these animals and predict the impacts of projected increases in shipping, and associated risks in oil spills, in the Arctic. This work would be done under the co-supervision of Dr. Marie Auger-Méthé (Statistical Ecology Research Group, University of British Columbia) and Dr.

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Making a Training Dataset from Multiple Data Distributions

Over time we might accumulate lots of data from several different populations: e.g., the spread of a virus across different countries. Yet what we wish to model is not any one of these populations. One might want a model for the spread of the virus that is robust to the different countries, or is predictive on a new location we have only limited data for. We overview and formalize the objectives these present for mixing different distributions to make a training dataset, which have historically been hard to optimize.