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can be understood as a ‘technosocial system’ that connects the technical aspects of AI and Data Science with its social, cultural and humanistic values in deep, intrinsic ways. These 'human-centered
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scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation-graduates-programs), and
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NeurIPS, ICLR, CVPR, ICCV, ECCV, KDD, AAAI, IJCAI and MICCAI. Required knowledge Research experience in AI, data science, robotics, computer science or a related field (having medical background
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Primary supervisor Raphaël C.-W. Phan Co-supervisors Arghya Pal Sailaja Rajanala Prof Lin Chen [https://scholar.google.com/citations?user=pqe3-BMAAAAJ] Research area Cybersecurity AI is now trending
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should also have a strong computer science background with good programming skills. Learn more about minimum entry requirements .
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should also have a strong computer science background with good programming skills. Learn more about minimum entry requirements .
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Science (Honours) (BMedSci (Hons)) Faculty of Information Technology (FIT) Bachelor of Computer Science (Honours) Bachelor of Computer Science (Advanced) Faculty of Pharmacy and Pharmaceutical
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning
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suited for a student with good skills in mathematics and computer science, and an interest in information theory and evolutionary science. PhD applicants with honours or research masters degree in an