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premium student experience and to developing leaders for society. The School’s vision is to be the place of choice for tomorrow’s business leaders to study and learn their craft. It offers a range of
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: ability to use tools such as R (or similar platforms) for data wrangling, visualisation, and reproducible workflows. A working knowledge of statistics and applied machine learning methods (e.g. regression
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of working About You We’re seeking a proactive and relationship-driven professional to lead industry engagement for Work Integrated Learning (WIL) across the College of Business and Law. As the Coordinator
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external forums, and proactively managing risks related to program delivery, accreditation, and partnerships. The Director will also lead continuous improvement initiatives, enhance student learning
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largest schools, with a rapidly expanding teaching and research portfolio. The school is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies
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and deep community engagement. Our staff work closely across disciplines to drive innovation and excellence in both education and research. With a strong focus on interprofessional learning and
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Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions are full-time, continuing (tenure-track), teaching and research roles based
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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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insurance, 50% off Swinburne courses and other partner offers. Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions. Want to learn more? Head over to