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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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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 140th globally and 11th in Australia in QS World University Rankings 2024. To learn more
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Overview: Full time, 2-year fixed term position as Associate Dean, Learning and Teaching with underlying continuing position at Level D/E Salary Academic Level D ($155,691 - $171,521) or Level E
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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 140th globally and 11th in Australia in QS World University Rankings 2024. To learn more