PhD in Modelling the Dynamics of Multi-Hazard Risk
You will work on research leading to a PhD thesis on modelling the risk resulting from multi-hazard events that represent different types of dependencies between hazards. Many studies have examined the risk from single hazard types (e.g. a flood, a drought, an earthquake). However, we lack a comprehensive analysis of dependencies between different hazard types (e.g. earthquakes/rainfall triggering landslides, which can then cause river floods; simultaneous or consecutive coastal and river floods in the same region; droughts amplifying the likelihood of forest fires, etc), and how these dependencies affect the risk on society. This project aims to develop statistical and dynamic models to assess these dependencies in hazard and risk. The results will contribute to the development of an open-source software package for generating realistic multi-hazard event sets.
PhD in Data Science and the Dynamics of Multi-Hazard Risk
You will work on research leading to a PhD thesis on assessing the dynamics of multi-risk due to interactions between different natural hazards. Risk models have been developed to assess changes in risk in the past and future due to changes in hazard, exposure, and vulnerability. However, they examine long-term trends, assuming no interactions between risk drivers. Dynamic feedbacks are poorly represented, and we lack methods to assess and quantify changes in risk over time. This project aims to build an evidence and knowledge base of how multi-hazards influence dynamic feedbacks between risk drivers and thereby influence overall risk.