Analysis and statistical modelling of coastal extreme events
Techniques of Extreme Value Analysis (EVA) will be developed within the EOatSEE project, with the aim of identifying statistical relations between magnitude and frequency of the extremes. These techniques will be applied to observational and modelled data on a set of representative areas selected within the project, and will be able to capture local trends of the extremes in view of climate changes. At the interface between land and sea, our coasts are subject to water-related hazard, originating from a wide range of phenomena, including sea level rise, storm surges, seiches, tides, gravity waves, precipitations, river discharge. Consequently, coastal hazard is often related to the occurrence of compound events, which here will be described in terms of multivariate non-stationary joint distributions, by means of the copula methodology.
The candidate will apply techniques for the mono-variate analysis of the extremes, both stationary and non-stationary, on observational and modelled data in the representative areas identified within the project EOatSEE. She/he will develop techniques for fitting time-varying joint distributions, allowing for a probabilistic description of the occurrence of compound events. Within this activity, the candidate will experiment with innovative techniques for a) statistical coupling of extremes of different phenomena, and b) data sampling aimed to the identification of compound events.
The position is open to candidates with a Master Degree or equivalent title in Engineering, Statistics, Physics, Mathematics with appropriate scientific and professional curriculum. The possession of a PhD is appreciated, but not mandatory. Good programming skills in MATLAB and/or python are required.
The activity will be based in Ravenna at the Centro Interdipartimentale di Ricerca per le Scienze Ambientali – CIRSA. The gross amount of the research fellowship contract is € 22,699.00 for 1 year.