268 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"DAAD" positions at Monash University
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Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
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Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
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language, sound events, or music. This process typically employs deep learning techniques, such as recurrent neural networks, transformer models, and so on, to analyse audio signals and generate coherent
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Primary supervisor Bernd Meyer Research area Data Science and Artificial Intelligence This is an umbrella project that develops methods to monitor animals and more broadly biodiversity in natural environments. It focuses predominantly on acoustic methods but data fusion with visual and abiotic...
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Primary supervisor Roberto Martinez-Maldonado Research area Human-Centred Computing I am seeking PhD candidates interested in working on designing Learning Analytics or similar reflection
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hinges on a wealth of sophisticated heuristic mechanisms, the key part driving their exceptional practical performance, is normally attributed to their learning capabilities. A learning solver gradually
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language, sound events, or music. This process typically employs deep learning techniques, such as recurrent neural networks, transformer models, and so on, to analyse audio signals and generate coherent
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by
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Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
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unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial