Position Announcements


PhD Position in Forest Growth Projection and Sampling // 1 May 2024

For many forests of the world, growth models and growth data are vital to plan adaptation strategies under climate change. In reality, both are limited to certain tree species, ecosystem types, and geographical regions. Thus, there is an immediate need to extend the coverage of growth models and data. To do so, we need a projection system that can easily calibrate existing growth models in real-time with incoming growth data from forest ecosystems without a model. Moreover, a cost-effective and efficient inventory system for monitoring forest growth is needed that can be deployed over large areas in such forest ecosystems to complement the projection system. The Department of Forest Resources Management, University of British Columbia, is looking for a highly motivated, enthusiastic, and independent person for a four-year funded PhD position. The overall aims of the position are to develop a projection system based on particle filtering to effectively predict long-term forest growth and an inventory system based on variable probability sampling to efficiently estimate the growth. The preferred start date is September 2024.

Institution:  Department of Forest Resources Management, Faculty of Forestry, University of British Columbia (UBC)
Duty Station:  Vancouver, BC, Canada
Closing date:  1 May 2024

Details:  https://www.grad.ubc.ca/ad/57737

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