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cropping and weed control across Australia. About the opportunity AHRI has a new project to map weed patches in farmers' fields using remote sensing and, from this, to develop a spatial model to predict
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sensing and, from this, to develop a spatial model to predict the likely location of these patches in upcoming seasons. Therefore, we are seeking a research fellow with expertise in remote sensing and data
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frequency coastal radar, moorings, autonomous ocean gliders), boat-based field work from small and large vessels, satellite remote sensing in combination with advanced numerical modelling to explain
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described above, but you feel your skills and potential are a match to the capabilities we need, please apply. We are looking for diversity in experience, thought and approach. This role is part of a
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Demonstrated understanding and industry use of forest growth and yield modelling systems and software, and understanding of the data (including remote sensing) and model requirements supporting forestry systems
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innovators in a vibrant academic environment At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
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of crop breeding/assessment trials Desirable: experience in the application of statistics and quantitative genetics in plant or animal science Desirable: experience in use of proximal and/or remote sensing
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practice including environmental science, remote sensing, applied mathematics or computer science. Masters level qualififcations with significant applied or industry knowledge will be considered. High
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/forecasting techniques and use of remote sensing in these applications is desirable. Demonstrated success in collaboration in interdisciplinary team-work environments Evidence of publications in reputed