152 phd-studenship-in-computer-vision-and-machine-learning PhD positions at RMIT University
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Scholarships are open to domestic or international students. The successful applicant must have already applied for, or have already commenced a PhD research program at RMIT and accept Data61 scholarship
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School
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that combine fairness, privacy and legal guarantees for ADM systems, such as recommender and machine learning based systems. It takes a multi-disciplinary approach and although focused on the mobilities and
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for an RMIT Vietnam PhD scholarship must meet the entry requirements for a graduate research program at RMIT University. Additionally, applicants must meet English requirements. Competitive Selection
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meet RMIT University's minimum requirements for admission to a Doctor of Philosophy (PhD) program and should hold an Honours degree (First Class) or an equivalent standard Master's degree with a
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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