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expertise in physics, electrical engineering, computing, mathematics, and statistics to better understand and advance our data-driven world. As part of Curtin’s Faculty of Science and Engineering, EECMS is
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field (e.g. physics, chemical engineering) Demonstrated experience in developing computational methods and workflows for chemical problems and experience using simulation software Demonstrated subject
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data analytics, AI or machine learning, applied to engineering challenges. Confidence working with diverse stakeholders - from industry engineers to government partners. Strong communication skills, with
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-sensor hyperspectral data for crop disease detection and monitoring. Develop machine learning or physics-informed models to retrieve reliable spectral and/or biophysical features, from multi-scale
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education. Background in peer learning design or educational technology for feedback systems. Role Requirements As this is a continuing (permanent) role, you will require permanent work rights in Australia