Position Announcements
PhD Position in Sampling Theory for Forest Growth // 1 December 2024
For many forest ecosystems, growth models and growth data are vital to plan adaptation strategies under climate change. To support development of growth models under uncertain future climates, forest monitoring systems are important to gather the necessary information. The systems ideally consist of measurement methods and sampling strategies that are adaptive, efficient, and targeted to individual growth components. Moreover, the monitoring systems must be cost-effective so that they can be deployed over large areas. This feature is particularly important for forest ecosystems that are lacking growth models and long-term monitoring programs. Lastly, uncertainties from the inventory systems must be integrated into growth models to assess risks of adaptation strategies and management decisions. UBC is looking for a highly motivated, enthusiastic, and independent person for a four-year funded PhD. The overall aims are to develop efficient forest monitoring systems for assessing forest growth. The specific objectives of the project are to: (1) design innovative technologies to measure tree growth, (2) develop cost-effective and efficient sampling strategies to assess forest growth components, and (3) assess and integrate sources of uncertainty. The preferred start date is September 2025.Institution: Department of Forest Resources Management, Faculty of Forestry, University of British Columbia (UBC)
Duty Station: Vancouver, BC, Canada
Closing date: 1 December 2024
Details: https://www.grad.ubc.ca/ad/58214
Contact: Tzeng Yih Lam, Assistant Professor in Forest Measurements, tzengyih.lam(at)ubc.ca