9 condition-monitoring-machine-learning PhD scholarships at Swinburne University of Technology in Australia
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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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. 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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will shortlist and confirm the two successful recipients in August. We'll notify students who are successful and unsuccessful via email. Conditions Terms and conditions for Clare Burton Memorial
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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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extension). Paid leave of absence, thesis allowance, relocation allowance as outlined in the RTPS Conditions of Award (below). How to apply Contact Graduate Research Office HDRscholarships@swin.edu.au
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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