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employment policies. For further information on the WIRe scheme visit the web site at: https://cdtwire.com/ The project based at The University of Sheffield will be supervised by academics at Sheffield and
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python
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, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
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