4 Postdoc and 5 PhD student positions studying structure and function of trees using drone-based remote sensing
The FastPheno project is soliciting applications for several postdoctoral and fully funded grad student positions. The project aims to develop and use the next generation high-throughput drone-based phenotyping platform and observe forest dynamics, identify trees resilient to climate change impacts and to ensure future forest health and productivity. The positions are part of a large project with researchers from the University of Toronto, Université Laval, Natural Resources Canada and the Ministère des Forêts, de la Faune et des Parcs du Québec.
We are looking to hire postdocs and grad students with complimentary skills and interests in remote sensing, plant biology, tree genetics and genomics, data sciences, forest ecophysiology, bioinformatics, and statistical modeling. Successful applicants will work closely in a collaborative environment in an interdisciplinary team of researchers of the four participating organizations. Find application instructions here