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established Neuromorphic group working on advanced machine and deep machine-learning based signal processing elements under the general leadership of working directly with Drs Pedro Freire, Yaroslav Prylepskiy
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unique opportunity to work with a team of academics, industry practitioners and another KTP associate, and translate AI & Machine Learning techniques to an important industry sector of port transportation
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acquire a range of research and transferable skills. They will contribute to the writing and publication of high-quality papers in peer-reviewed literature and will benefit from mentoring, training, and
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high-impact learning opportunities for postgraduate researchers and those that support them, utilising your insights and creativity to continuously improve our offer. You will demonstrate original
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statement should explain why you are interested in the position and your qualifications for it. About the School of Languages, Linguistics and Film At SLLF we undertake world-class research, and teach a range
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Role Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, communications, machine learning, and reasoning - has been
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-interaction, advanced sensing, communications, machine learning, and reasoning - has been established through more than thirty years of research into this field. The group you would be joining is primarily
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to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
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systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve
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training in teaching and learning as required by the University, as well as the School’s PGCert in Research Methods (unless equivalent qualifications are already held). Education, Qualifications and