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The BC COVID-19 team of modelers is looking for a post-doctoral fellow or senior graduate student to conduct modeling work related to forecasting and scenario building. The position is for four months, potentially extendable, with funding from Mitacs and ApexRMS. The fellow would be supervised in the lab of Dr. Sally Otto (University of British Columbia).

The project would involve using SyncroSim to compare and chain together “models” – including existing off-the-shelf programs and scripts written in languages such as R, Python and C# – to transform data into forecasts (see pilot).  The tool could be used to address a variety of questions, depending on the needs of local decision makers, and allow rapid assessment of how modeling choices affect projections.

Skills: The fellow must have a background in quantitative modeling, be familiar with GitHub, and fluent in at least one coding language (including R).

Application: Please send Sally Otto (otto at a CV and cover letter detailing relevant experience. Given current COVID restrictions, candidates should be in Canada and willing to work remotely.