Job Title

The University of Tasmania acknowledges the Palawa/Pakana and Gadigal/Wangal people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to elders past and present. International expertise in forest remote sensing, digital forest measurement, or environmental sensing systems Demonstrated ability to lead multidisciplinary, researchintensive programs and supervise teams of postdoctoral researchers and PhD candidates Fulltime, 4year fixedterm role based in Hobart, Tasmania About the Opportunity We are seeking an experienced academic leader to drive a transformative research program in digital forest sensing and analytics within the Australian Forest and Wood Innovations (AFWI) Centre. In this role, you will design and deliver a focused fouryear program using remote sensing, inforest sensor networks, machine learning, and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will colead a multidisciplinary research team of postdoctoral researchers and PhD candidates working across remote sensing, data analytics, and immersive virtual reality, contributing directly to AFWIs Digital Forests strategy and industryembedded projects. Based in the School of Geography, Planning and Spatial Sciences (GPSS), you will 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. The role sits within a school recognised for its strengths in spatial sciences, conservation, climate adaptation, and human geography, and is home to Australias topranked Geomatic Engineering research group. You will report to the Head of School and the AFWI Centre Director. Whats Required Internationally recognised research record in one or more of: LiDAR and imaging systems; drone/airborne/terrestrial sensing; largescale 3D modelling; ML/AI for geospatial/environmental data, IoT, demonstrated by a very strong record of highquality publications, presentations at conferences and success in securing external competitive and other funding. Track record of competitive funding success and delivery of multipartner, industryembedded 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. Desirable: knowledge of machine learning and Artificial Intelligence methods applied to geospatial data and problems. Salary Appointment to this role will be at Academic Level D and will have a total remuneration package of up to $210,621.00 comprising base salary within the range of $166,014.00 to $180,018.00 plus 17% superannuation. A relocation package will be considered for the ideal applicant. Whats on Offer? Youll have access an array of staff benefits and discounts including. 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 #J-18808-Ljbffr