A fully-funded Ph.D. position is available at the University of Toronto, either in the Geography Department or in the Faculty of Forestry. The Ph.D. candidate will develop new techniques for monitoring trees using the latest remote sensing technology. In particular, the candidate will use optical imagery and/or LIDAR to delineate tree crowns, then assess tree health, branch fall, and tree mortality. Some of the data will be collected using unmanned aerial vehicles or helicopters carrying hyperspectral sensors, multispectral sensors, as well as LIDAR. Thus, the candidate will have the opportunity to work at the Koffler Scientific Reserve (http://ksr.utoronto.ca/) and Haliburton Forest (https://www.haliburtonforest.com/).
Qualifications: 1) sincere interest in remote sensing and forest ecology; 2) strong quantitative skills; 3) remote sensing skills, or the ability to learn them quickly; and 4) excellent oral and written communication skills in English.
Applicants should send a letter of enquiry and curriculum vitae to Prof. Yuhong He (email@example.com) and Prof. John Caspersen (firstname.lastname@example.org). Applications will be reviewed beginning January 15th, but the positions will remain open until a suitable candidate is selected.