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of a proof-of-concept prototype in partnership with law-enforcement, higher-education, and commercial organisations. It will involve the gathering of multi-stakeholder organisational requirements and the
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the simple equation that more training data = better performance. Learning—in particular, the advanced deep learning methods, like BERT for NLP and ResNet for image processing—often require thousands
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
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project are open to negotiation, but it should be designed with the aim of making a positive difference to the life experience of people with disabilities. Projects that fall into one (or more) of the
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belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity , and welcome and celebrate everyone's contributions, lived experience and
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payments if you are changed to a Commonwealth Supported Place and are eligible to defer your fees, but you may continue to receive the allowance. You may be asked to provide an annual progress report to
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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agenda that strengthens the University’s position within the competitive and dynamic global higher education landscape. About you You are a highly esteemed academic leader with a distinguished record in
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sound and music, computational design, and tangible and physical computing. This position offers the opportunity to engage in impactful research and contribute to the development of new technologies
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real-life data. Expected outcomes include improved anomaly detection methods with reduced false positives, thereby reducing the costs associated with investigating false positives and minimising resource