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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. Power and Renewable Energy Engineering
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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
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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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publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s five global campuses. Curtin is home to state-of-the-art
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largest schools, with a rapidly expanding teaching and research portfolio. The school is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies
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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply