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top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses on addressing social
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for research leadership. Strong experience in at least two of the following areas: reinforcement learning machine learning, deep learning dynamic scheduling, optimisation and control Experience in developing
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), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
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are looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high
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and support clinical learning and teaching across the School of Clinical Medicine. The role reports to Head of Discipline and has no direct reports. Key skills required: A medical degree, preferably
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nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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of innovative machine learning methods. The Senior Research Associate will drive the direction of research within this broad area and collaborate with others in the ARC Centre of Excellence for Weather of
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Computer Sciences to contribute to the Schools teaching and learning outcomes in the Master of Computer Science. We are welcoming applicants with expertise in all areas of computer science, including
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looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality