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privacy-preserving algorithms to machine learning models. Analyse and interpret findings, ensuring scientific rigour and practical relevance. Prepare and submit manuscripts to leading conferences and
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Bachelor degree in Computer Science/Engineering or equivalence More than 2 papers published at top AI/Machine learning conferences Experience of deep learning and machine learning Good communication and
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leadership and expertise in the synthesis and characterization of advanced nanomaterials, specifically focusing on the integration of machine learning, wafer-scale synthesis of materials, and high-throughput
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, mapping surface changes due to disaster events, and mapping ocean colours and ocean topography for carbon flux estimates. We are also interested in candidates who have experience applying machine learning
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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knowledge related to acoustic modelling (e.g., COMSOL Multiphysics) and measurement. Demonstrated data analytic skills, ideally with machine learning. • Other general requirements: Demonstrated ability
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modelling, noise mapping and measurement. Demonstrated data analytic skills, ideally with machine learning. Other general requirements: Demonstrated ability to undertake high quality academic research with
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are demonstrated knowledge related to acoustic modelling, measurement and soundscape. o Essential are demonstrated data analytic skills, ideally with machine learning or statistical modelling • Other general
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes