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The exciting PhD opportunity was funded by 5-year Leverhulme Trust Leadership Award, which aims on sensing wastewater for real-time public health, particularly on the development of novel low-cost
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structures affecting their fundamental modes within conventional sensing limits. As per published research, these effects are mostly investigated under dynamic loads on different boundary conditions
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. This involves 'handcrafted' expert systems, which are good at reasoning about narrowly defined problems, but poor at handling uncertainty and have no ability to learn or abstract/generalise. In that sense
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with other sensing approaches, such as from airborne, satellite platforms and other on-site data sources. 4. Develop edge-based machine-learning techniques to provide near-instantaneous emission