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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
for research that benefits Indigenous communities – in a relevant disciplinary area, including Human-Computer Interaction, Media Studies, Digital Cultures, Digital Sociology and Digital Humanities
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that can flow without resistance, mimicking the behaviour of quantum fluids. These systems, known as quantum fluids of light, promise revolutionary applications in low-energy photonic devices, including
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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the challenges of high cost, low efficiency, and poor durability. This project aims to develop a novel type of electrolyser device, called the all-perovskite inorganic anion exchange membrane water electrolyser
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brilliant success in past decades. PCFCs encompassing proton conductors regarded as the next-generation fuel cell device for their lower operating temperatures. As distributed electricity generation devices
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data