Causal inference and trial emulation for ecological and/or environmental observational data

About the Project

Conducting formal causal inference for ecological and/or environmental data is challenging due to the complex observational processes that are usually involved. The propensity score method allows the estimation of causal effects in non-experimental studies, however this is dependent on constructing emulated experiments to ensure independence between the observation process and treatment allocation. This PhD will develop and apply novel methodology in causal inference and causal discovery for ecological and/or environmental observational studies, for example changes in spatio-temporal distribution and movement patterns driven by environmental disturbance and impact assessment studies.

Funding Notes

Fully funded scholarship places (fees, plus stipend of approx. £19,775) are typically available for well-qualified students. UK, EU and other overseas students are all encouraged to apply. Further details of the application and selection procedure are at View Website (pdf - see last page) and View Website.