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Aloïs is a PhD researcher at the Geography department of King’s College London since January 2017. Before his PhD, Aloïs completed a two years Bachelor in Engineering specialized in thermodynamics and fluid dynamics at the University of Grenoble and a MSc in Water Engineering at the University of Nice. While he excelled in his core subjects of engineering training, he later decided to specialize on a slightly different track in hydrology and the study of extreme events. He participated in projects on flood risk assessment and resilience in Colombia and France. Thanks to these opportunities he was given the chance to work as an intern in EDF DTG in Grenoble to complete his MSc. His MSc thesis was on dynamic rating curve assessment. He also undertook a Master in Management at the University of Nice, adding to his skillset in managing teams and social interactions within a business context. His management thesis was on the new organisational challenges for big corporations


Thesis title: 'A scenario-oriented probabilistic model for multi-hazards events'

This research is funded by EDF Energy, the biggest supplier of electricity by volume in Great Britain. Energy facilities (e.g. nuclear power plants, electric grid, wind turbines) are critical infrastructures and there is a need for more information about multi-hazard events to ensure their safety. The aim of this research is within the context of interrelationships between natural hazards (multi-hazard) to understand current methodologies and design a probabilistic model for the quantification of hazard interrelationships that is useful for energy infrastructures.

To understand current methodologies used for quantifying hazard interrelationships, literature from this highly multidisciplinary field will be reviewed (it includes statisticians, physical and social geographers, earth scientists, civil engineers). To increase knowledge on hazard interrelationships, measures of the interrelationships of two or more hazards as well as the temporal and spatial scales of multi-hazard events will be developed.

PhD Supervisors