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, yielding negligible performance gains or even inducing catastrophic forgetting. To bridge the gap between theoretical AL and real-world deployment, this PhD project will develop resilient active learning
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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a unique opportunity to influence and develop the Faculty’s curriculum and research training programs, thereby shaping the future of educational research and practice. This position demands a special
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these issues is critical for building trustworthy multimodal AI systems. Research Objectives The goal of this PhD project is to develop scalable Bayesian uncertainty estimation frameworks for single- and multi
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internal and external partners to support the ongoing management and development of the University’s property assets. This opportunity will suit a candidate with experience in retail, commercial or mixed-use
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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be considered for the Monash International Leadership Scholarship. As a scholarship recipient you will receive a 100% tuition sponsorship for the duration of your degree, and the opportunity to develop
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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, the developed methods can help identify emerging trends and patterns in rhetoric or planning activities, allowing for timely intervention by authorities. These monitoring systems are essential for public safety