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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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, advanced characterisation, computational modelling and artificial intelligence. Project Details Start: 2027, flexible by agreement Graduate research degree: Doctor of Philosophy (PhD) Location: Clayton
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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural
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settings to improve accuracy and confirm the system is fit for purpose. This PhD project will develop, validate and refine a saliva-based hydration assessment system for use in sport and workplace settings
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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-depth qualitative evidence on how Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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with annual indexation) Faculty of Information Technology Tuition Fee Scholarship (for international students only) Industry Top-up scholarship of $10,000 per annum FIT Candidature Funding of $4,000
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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Australian adults experience these financial support systems. These insights will be utilised to co-design a navigation support model that can assist individuals in accessing and engaging with these systems