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variational inequalities. The newly developed algorithms will be applied to large-scale optimisation problems arising in federated learning. The PhD student will work under the supervision of Dr Minh N. Dao
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To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High
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We are seeking applicants interested in communication design, digital learning design and youth arts to undertake a PhD that exploring online frameworks for capturing learning experiences in youth
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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-class or H1 honours degree in Computer Science, Engineering or equivalent in a related discipline. Applicants must satisfy RMIT University’s PhD entry requirements. Applicants must have a first-class or
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
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This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
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This National Industry PhD scholarship is a joint project between RMIT and the National Museum of Australia, supported by the Swayn Gallery of Australian Design. The successful candidate will use a
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or more of biodiversity conservation, protected areas, private land conservation Interest in undertaking interdisciplinary research and learning across a range of disciplines The PhD research may involve