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, uncertainty-aware decision-making, and efficient inference and model updates under latency, memory and energy limits. The precise research focus will be developed with the successful candidate within
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capacity building within: Integrated understanding and quantification of the flow of fresh water in the water cycle, including the interaction between groundwater and surface water (e.g. groundwater close to
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operate robustly under uncertainty, rather than relying on simplified assumptions. The systems you will be working with are real world, industrial scale energy systems rather than simplified lab set-ups
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related to boundary-setting, aggregation, uncertainty, and consistency across scales. The PhD candidate is expected to contribute to a collaborative research environment at BUILD, working with case studies
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response of flexible cables to accelerate design optimisation. Analyse and quantify model uncertainties and perform global sensitivity analysis. Delivertechnicalreportsandcontributetopeer