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This is a full-time, funded PhD opportunity, open to both home and overseas students. Please note that only home fees will be covered - eligible overseas students will need to make up the difference
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) enhance understanding of the degradation processes; (ii) investigate inspection and condition assessment strategies; and (iii) develop modelling techniques, leveraging machine learning and artificial
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The project: An exciting opportunity is available for a talented and motivated PhD candidate to pursue cutting-edge research on applying generative artificial intelligence and reinforcement learning
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developments in artificial intelligence (AI), machine learning (ML) and microelectronics have enabled drones to work even more efficiently, enabling them to address emerging demands in several sectors including
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The advent of Industry 4.0 has ushered in a new era of manufacturing, marked by the integration of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and
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orbital mechanics computer programming (in a compiled language such as C, C++, Fortran, or Julia) Experience in the following is advantageous: machine learning and/or artificial intelligence big data
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Early integration of sensors for efficient SHM of aerostructure during their service. Using a mix of reactive machines and limited memory this project develops new fuzzy logic based artificial
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Supervisory Team: Dr Hansung Kim Project description: Computer Vision is one of the most active areas where artificial intelligence (AI) is being used. This area is extremely expanding and getting a