About the project
This project combines ground engineering with statistical uncertainty quantification to support sustainable decision-making for infrastructure construction. Work with real-world data, expert teams, and cutting-edge techniques to reduce over-conservatism in design and construction.
This collaborative project bridges civil engineering and statistical science to improve the design of geotechnical structures to support transport and energy infrastructure. Traditional engineering methods often struggle to account for uncertainty in material and structural behaviour, leading to overly conservative designs that can waste time, energy, and resources. This project tackles that challenge by applying advanced statistical approaches, including statistical finite element methods and emulation, to interpret data gathered from instrumented civil engineering structures.
You’ll work with rich field monitoring datasets, including those published by Southampton’s Infrastructure Group. You’ll also collaborate with experts in the Statistics Research Group, who specialise in probabilistic numerics, Gaussian processes, Bayesian neural networks, and uncertainty quantification. This project offers the chance to develop innovative tools for interpreting data from instrumented geotechnical structures and guide sustainable decision-making in civil engineering construction.
