About the Project
This PhD will contribute to the project by developing companion methods that allow simulations, such as agent-based models, to be rigorously applied to the real-world. Ensembles are groups of models that are executed in parallel to provide a means of exploring the range of possible outcomes from probabilistic models. These are an ideal way to better understand uncertainty in model results, but are not regularly used in the field of agent-based modelling. A related concept, emulators, refers to simple models that approximate a more complex and computationally demanding model. Developing good emulators for agent-based models could be extremely valuable, especially in the context of running ensembles of hundreds or thousands of models, but again have not been extensively used in the field. This PhD will extend the state-of-the art in methods such as emulators and ensembles – and other techniques such as Bayesian inference that might be appropriate – to allow the urban simulations that are developed as part of DUST to be applied to real-world urban systems.
How to apply: http://www.geog.leeds.ac.uk/study/phd/how-to-apply/
This studentship provides full UK/EU tuition fees and a tax-free maintenance stipend of ~ £14,777* for 4 years.
*To be reviewed annually in line with the UK Research Council rates https://www.ukri.org/skills/funding-for-research-training/
Applications are welcomed from UK or EU applicants who have, or expect to receive by July 2018, a UK 2i/1st class honours degree (or equivalent) in a relevant discipline. A Masters degree would be advantageous but is not required.
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