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School of Physics and Astronomy in the Faculty of Science sits at the forefront of discovery, attracting researchers who want their work to matter beyond the laboratory. This fixed-term, full-time Research
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deployable video analytics technologies. Candidate Profile We are seeking highly motivated applicants with a strong academic background in computer science, data science and artificial intelligence. Applicants
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career in exciting, rewarding directions About the project There are several potential PhD projects available for support through the NHMRC-funded Blood Synergy program. Candidates will contribute to a
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Recent advances in artificial intelligence have produced highly accurate diagnostic models across a wide range of medical applications. However, these systems often provide little insight into how decisions are made, limiting clinician confidence and adoption in healthcare settings. Large...
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the ARMI Student Program, encompassing HDR, Masters and Honours. This position focuses on the strategic development of the Student Program and is responsible for leading and delivering high-quality teaching
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science. which has included training in
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development of the University's podiatry program. The position delivers engaging learning experiences across lectures, tutorials, practical classes, workshops and clinical education, while contributing
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare