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and government. Excellent interpersonal and communications skills together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD in a related field or
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and government. Excellent interpersonal and communications skills together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD in a related field or
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You Completion or near completion of a PhD in the computer science or relevant field. Demonstrated experience with multi-modal imaging (RGB, thermal, spectral) and 3D data acquisition (e.g., LiDAR
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to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
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role supports the development of a novel nanophotonic therapy to treat drug-resistant hypertension—a major and growing global health challenge. The successful candidate will focus on synthesising
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delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as required. Monitor, track and report on
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position is monitoring administrative processes across the student lifecycle—starting from commencement through to completion—to ensure alignment with both internal university policies and the ESOS Framework
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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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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly