- Do you have a PhD (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as agricultural science, agronomy, digital agronomy or similar?
- Explore highly integrated emerging and future complex farming systems
- Develop frameworks will be tested and deployed on real-world robotics platform!
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
The CSIRO Data61 and Agriculture and Food business units recently established a new 3-year project to develop digital transformation of farming system design. This is an exciting opportunity to join a multidisciplinary team, where you will work with CSIRO scientists, engineers and collaborate with national and international university partners to explore highly integrated emerging and future complex farming systems. The work will specifically focus on the development of novel, complex farming systems that gain maximum benefit from autonomous solutions to implement, manage and monitor farming systems in an efficient and sustainable workflow.
The successful postdoctoral researcher will work closely with leading farming systems and digital agriculture scientists in CSIRO Agriculture and Food and with Data61 scientists in robotics and machine learning. The farming system research will seek to optimise across multiple dimensions of productivity, profitability, environmental sustainability and resilience. This is likely to include exploration of complex systems that integrate crop, livestock, horticulture, orchard and ecosystem services.
Working with the Data61 team, key management and monitoring tasks will be developed, optimised and co-developed into autonomous workflows. Research will focus on optimising these innovative farming systems and developing new technologies and methods for future farming systems. The successful candidate will work within national and international settings and as part of a diverse multidisciplinary team. The developed frameworks will be tested and deployed on real-world robotics platform in a range of settings such as field research station and on-farm. They will present the findings in appropriate top-tier journals or conferences.