PhD in Stem

This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT)./nThe project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply, installation, commissioning, operation and maintenance of water and wastewater infrastructure within Ireland and the UK./nThe project will seek to develop methods to rank models and guide interventions based on whether further optimisation of the solution is worthwhile. The developed tools will not rely on computationally expensive modelling, but will use meta-analysis techniques to consider the scale/cost of the intervention, "quality" of the modelling, sensitivity of the model to further optimisation, etc./nProject objectives:/nDevelop a detailed understanding of current hydraulic modelling practice./nCreate a new framework to quantitatively assess and rank different catchment hydraulic models and sewage network models, leveraging AI and other "big data" meta-analysis techniques to perform this in a computationally efficient manner./nProvide guidance as to which sites and models would continue to significantly benefit from further optimisation./nAssess cost, complexity, and embodied carbon of different types of intervention to provide a wholistic view of where further development should be targeted./nEvaluate the potential for blue/green and sustainable solutions for improvement to network performance./nLocation: Cambridge