- Do you have a PhD in Computer Science (MLAI), Physics, Aeronautics or Radar Aeroecology?
- Work on a project to radically scale-up and transform Weather Radar analytics and information on the movement of agricultural insect pests in the Asia-Pacific region
- Be part of a diverse research team in this exciting postdoctoral role
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.
We are thrilled to be able to deliver on the commitment we made in our strategy to invest in frontier science with the CSIRO Agriculture & Food Winanga-y Postdoctoral Fellowship scheme. The word Winanga-y (pronounced win-na-gnay) is a cultural asset gifted by the Gomeroi Nation in Myall Vale to CSIRO's Agriculture and Food Business Unit to name the new Postdoctoral Fellowship Scheme. Winanga-y means to understand, know, remember, and think.
The CERC Fellow will work closely with leading scientists in the Agriculture and Food, Health and Biosecurity (Australian Centre for Disease Preparedness) and Data61 machine learning and data analytics business units, as well as world-leading external collaborators, to develop novel Machine Learning (ML) methodologies and algorithms with which to analyse Weather Radar (WR) data for pest insect movement activity relevant to agricultural regions across the Asia-Pacific. They will assess the ability of the algorithms to provide real-time analytics and timely alerts of migratory insect pest activity using WR data across the region, to underpin secure food systems.
We welcome candidates with research interests and skills in MLAI and big data analytics, and/or expertise in radar data processing (e.g. experience in target tracking and classification in applications such as aeronautics, robotics or the military). The CERC Fellow will work within national and international settings and as part of a diverse research team, with the opportunity to explore innovative solutions to forecast and manage pest outbreaks.