Forest Research (FR) is a leading UK scientific research organisation that provides impactful scientific data, evidence and advice to policymakers and practitioners. The post-holder will be responsible for leading and developing the Tree and Wood Properties research programme. They will provide strategic direction and line management to the programme team and co-ordinate research to meet priorities identified in the Science and Innovation Strategy for Forestry in Great Britain. They will also develop their own areas of research on wood properties and will support the incorporation of information on wood properties into existing work on climate change adaptation, mitigation and resilience. The successful applicant will also be expected to identify and pursue opportunities for further development of the research programme, through external funding and collaboration with relevant stakeholders.

Based in the UniSA Mount Gambier campus, the Senior Research Fellow: Forestry Systems will work within the Forestry Centre of Excellence, leading and collaborating on internal and external projects developing applied forestry systems for use in the forest industry, and in particular those systems that simulate forest plantation growth, yield and other ecosystem processes, including the components that help capture and transform the data needed to perform these functions. The primary focus region will be the Green Triangle region of South Australia and South Western Victoria, which is the premier plantation forestry and processing region in Australia.

The Department of Plant Pathology, The Ohio State University, is inviting applications for the position of Assistant/Associate Professor of Plant-Associated Molecular Mycology. The Department's aim is to recruit, support, and retain a scholar who will develop a strong, interdisciplinary, nationally and internationally recognized research and teaching program focused on fungi and/or oomycetes that interact with plants. To that end, we encourage applications from scholars whose research interests and experience may include, but are not limited to, the evolution of fungicide resistance, molecular plant-microbe interactions, population genomics, metagenomics, functional genomics, proteomics, and metabolomics of fungal and/or oomycete pathogens. Programs that use emerging computational and data-analytic approaches are highly desirable. The incumbent will be expected to seek both internal and external research support funds and training grants from government, industry, and other appropriate sources. The incumbent will become an integral part of the Department of Plant Pathology academic program and interact with and enhance a strong mycology community at Ohio State in support of the new undergraduate Minor in Mycology by developing or participating in courses as appropriate. The incumbent will teach/co-teach a course in Plant Pathogenic Fungi and associated laboratory, and develop a mycology-themed course of broad interest to diverse undergraduate students.

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.