145 electrical-machine-design-"https:" "https:" "https:" "https:" "https:" "https:" PhD positions in Australia
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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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requirements of Monash for PhD (https://www.monash.edu/graduate-research/future-students/apply); Knowledge of machine learning (would be a plus if familiar with NLP and Medical AI); Knowledge of cybersecurity
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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
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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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Primary supervisor Hui Cui Research area Cybersecurity This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly 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
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this, this project aims to develop machine learning models to analyse audio features such as pitch, tone, cadence, and spectral characteristics. These techniques are implemented to detect subtle
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this, this project aims to develop machine learning models to analyse audio features such as pitch, tone, cadence, and spectral characteristics. These techniques are implemented to detect subtle