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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during
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the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity, sleep and health behaviour change] Job
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prestigious Group of Eight, Monash is a powerhouse of research innovation. Its Department of Materials Science and Engineering ranks second nationally, driving breakthroughs in advanced materials, polymer
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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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engineering. Experience with experimental measurements, image-based diagnostics, laboratory testing or quantitative data analysis. Coding and analysis capability in Python and/or Julia, preferably with
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, humanities and social sciences Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include your research proposal and an outline for a
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Expanding access to digital health The successful candidate will receive training in applied microeconometrics, health economics, environmental economics, discrete choice experiments, administrative data
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and Evidence-to-Decision frameworks · Use and evaluation of digital guideline platforms (MAGICapp) · Implementation science and knowledge translation in rheumatology
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for infrastructure platforms in minerals-to-green metals transformation. It will suit a candidate interested in combining experimental materials science, advanced characterisation, and data-driven modelling to develop