Associate Professor in Digital Forests

• Drive a transformative research program in digital forest sensing and analytics within the Australian Forest and Wood Innovations (AFWI) Centre
• Design and deliver a focused four‑year program using remote sensing, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector
• Co‑lead a multidisciplinary research team of postdoctoral researchers and PhD candidates working across remote sensing, data analytics, and immersive virtual reality, contributing directly to AFWI’s Digital Forests strategy and industry‑embedded projects
• Collaborate with AFWI partners to develop elements of a national forest digital twin that enhances inventory accuracy, fire and health risk assessment, and supports carbon and biodiversity accounting

• Internationally recognised research record in one or more of: LiDAR and imaging systems
• drone/airborne/terrestrial sensing
• large-scale 3D modelling
• ML/AI for geospatial/environmental data, IoT, demonstrated by a very strong record of high-quality publications, presentations at conferences and success in securing external competitive and other funding
• Track record of competitive funding success and delivery of multi-partner, industry-embedded projects
• strong stakeholder engagement across forest estates and agencies
• A substantial record of successful research higher degree student supervision and completions and leading postdoctoral researchers
• commitment to team development and safe field practice
• Proven ability as an academic leader, with a record in team building and creating effective working relationships, and capacity to foster excellence in research and teaching
• A demonstrated capacity to build and maintain effective and productive links locally, nationally and internationally with the discipline, profession, industry (where relevant) and wider community

knowledge of machine learning and Artificial Intelligence methods applied to geospatial data and problems

• 26 Weeks paid parental leave for primary care givers
• 17% Superannuation contribution
• Health and fitness membership options
• Accommodation and Car Hire discounts
• Health Insurance and Banking
• Novated Leasing
• A relocation package will be considered for the ideal applicant