4 Postdoc and 5 PhD student positions
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 4 postdoctoral and 5 fully funded grad student positions. This project will combine the next generation of high-throughput drone-based phenotyping platforms, plant ecophysiological and genomics approaches to understand forest dynamics and tree resilience to climate change impacts. 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. Successful applicants will work in Toronto or Quebec in an interdisciplinary team of researchers of the four participating organizations in a highly collaborative environment. If you have a background or interest in one or several of the following areas, you should send us your application: Plant biology, ecophysiology and ecology of trees, remote sensing, tree genetics and genomics, data sciences, bioinformatics, and statistical modeling.
Positions and Qualifications
For more details please visit https://ensmingerlab.net/join-the-lab/ and download the full description of the positions and qualifications.
Potential applicants should send their CV, a list with the names and contact information of 2-3 references and a max. one1 page motivation letter in a single PDF file to firstname.lastname@example.org. Use the words FastPheno Application in the subject line of your email. The Deadline for submitting your application is October 1, 2021, however, applications will be accepted until the positions are filled.
For questions on individual positions or the overall project please email email@example.com.