8 condition-monitoring-machine-learning PhD scholarships at Swinburne University of Technology
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affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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position is monitoring administrative processes across the student lifecycle—starting from commencement through to completion—to ensure alignment with both internal university policies and the ESOS Framework
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. Evaluating SRB performance in EV crashes and applying AI to optimise designs for different road conditions. Propose safety enhancements for EVs in run-off-road collisions. If you're passionate about vehicle
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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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requirements may be requested at the discretion of the School. Tuition Fee Scholarship Conditions The scholarship applies to tuition fees only. The scholarship is personal to the recipient and cannot be
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return to live outside of Santiago, this period is reduced to half of the scholarship period. If this condition is not met, you will be required to repay the scholarship. Value US $1,556 per month stipend
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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household