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, research-intensive programs and supervise teams of postdoctoral researchers and PhD candidates
• Full-time, 4 -year fixed-term 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 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.

You will 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.

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 home to Australia's top-ranked Geomatic Engineering research group. You will report to the Head of School and the AFWI Centre Director.

What's Required

• 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.
• Desirable: knowledge of machine learning and Artificial Intelligence methods applied to geospatial data and problems.

About the University

At the University of Tasmania, we have mission to make a difference for Tasmania, and from Tasmania. With our unique location and complex history, we have both an obligation and opportunity to make a global contribution. People are at the heart of that contribution. We focus on building a workplace culture where we come together in a way that empowers us all to connect, belong and grow. The University is one of the largest employers in our State, with campuses in three distinct regions: Hobart, Launceston, and Burnie. We also have a specialised health campus in Sydney. We strive to stimulate economic growth, lift literacy, improve health outcomes for Tasmania and nurture our environment as it nurtures us. We welcome enquiring minds, from near and far, to join us in our pursuit of the extraordinary.

Visa sponsorship or a relocation package may be offered to the successful applicant.