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Field
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track
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management, possessing excellent interpersonal skills and a proven track record in stakeholder engagement and agricultural or environmental research. You may also: Have experience working with farmers, farm
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statistical analysis and software (e.g., Stata or R). Have experience with causally focused epidemiological or econometric methods. Demonstrate a track record of attracting research funding. Show commitment
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on-farm water use and irrigation system efficiency, with a strong publication record and excellent communication skills. You may also: Have a proven track record in irrigation water-energy systems
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on-farm water use and irrigation system efficiency, with a strong publication record and excellent communication skills. You may also: Have a proven track record in irrigation water-energy systems
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management, possessing excellent interpersonal skills and a proven track record in stakeholder engagement and agricultural or environmental research. You may also: Have experience working with farmers, farm
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are looking for an early career academic with a strong foundation in statistics, data science or a related discipline, combined with advanced computational skills. With a growing publication track record and a
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objectives and industry needs. Contribute to high-quality research outputs, with an expectation to publish in relevant academic venues. The ideal candidate will have: A strong background in mathematical
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proven track record of publishing in high-impact scientific journals. You may also: Have extensive knowledge of soil food webs and ecosystem functions. Possess strong organisational skills and the ability
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nanotechnology, molecular biology and bioconjugation would be an added advantage. Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research