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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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: Contribute to the design, manufacture and delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and
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project (Realtime Three-Dimensional Near-Field Microwave Imaging System). This project aims to develop a three-dimensional microwave system that can image and monitor the internal structure of objects in
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if: You hold a PhD in science, engineering, or have equivalent research experience in imaging, with a passion for applying your expertise to plant biology and space exploration. You may also: Have a
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ESSENTIAL A PhD degree in science, engineering, or equivalent research experience in imaging. Demonstrated experience in imaging research, in MRI, PET and/or CT modalities. A record of high-quality research
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contribution of 17% superannuation applies. Fixed term position for 36 Months. An opportunity for a Medical Research Future Fund (MRFF) Funded Senior Imaging Engineer will participate in cross-disciplinary
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accreditation processes within Australian higher education. Qualifications A PhD in a relevant discipline, or a Master’s level qualification in tertiary education. In exceptional circumstances, equivalent
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems