Temperature variation and risk modelling of endangered aquatic species

In collaboration with the Department of Fisheries and Oceans Canada and the Natural Resources Canada, the candidate will analyze variance of temperature data for North America and use this information to access risks for endangered aquatic species. We will examine the probability of autocorrelated temperature extremes and relate these probabilities to the risk of extinction as predicted by structured population models (matrix or IPM models)

The student will develop computationally efficient methods of dealing with the climate data, and will also develop methods for incorporating information regarding temperature variation and autocorrelation into population models

The position will begin Sept 2018 or Jan 2019. The successful candidate will be funded for 4 years by the Department of Fisheries and Oceans, Canada (www.dfo-mpo.gc.ca) and the University of Waterloo (uwaterloo.ca). Work will occur both at the Center for Inland Waters in Burlington, Ontario and the University of Waterloo, Waterloo, Ontario. Direct inquiries to Kim Cuddington at the University of Waterloo (kcuddingATuwaterlooDOTca). Applicants must meet the standards for entry into the Biology (uwaterloo.ca/biology/graduate-studies/admissions), or Applied math graduate program (uwaterloo.ca/applied-mathematics/graduate-students/applying)