Jobs:Job-00639
Start reviewing process: 11 March 2022
Posting:
Position: Postdoc Opportunity
Start reviewing process: 11 March 2022
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Department of Civil, Environmental and Architectural Engineering
The University of Padova
(contact: marco.marani@unipd.it)
Space-time downscaling of rainfall extremes
The RESILIENCE project (see Summary description attached and http://resilience.stat.unipd.it/) brings together an interdisciplinary group of scientists, from hydrologists, to climate modelers, to statisticians, to forest science experts. Within RESILIENCE, a research group based at the Department of Civil, Environmental, and Architectural Engineering will focus on novel statistical tools to infer local-scale (~point to 1 km scale) and short time scale (10 min- 1hr) extreme value statistics from Convection-Permitting and Regional Climate Model rainfall outputs (2.5-50 km in space and 1 day in time), as well as from remote sensing rainfall estimates. We envision using theoretical results based on general stochastic process properties (Marani, 2003; 2005) and applied successfully to the case of ordinary (i.e. non-extreme) temporal rainfall (Marani and Zanetti, 2007) and to ordinary and extreme space-time rainfall (Zorzetto and Marani, 2019). Results will be tested against high-resolution rain-gauge observations and weather radar information. Other methods that will be explored include, but will not be limited to, machine learning algorithms (e.g. convolutional neural networks). The work will focus on the Italian Northeast region, for which ground and remote sensing rainfall estimates are available to the team, along with results from Convection Permitting Models and Regional Climate Models. Outcomes are expected to be used and useful for impact studies and engineering design, objectives that will be pursued through the collaborations within RESILIENCE.
Candidate profile
The successful candidate will be a highly motivated researcher will to work within an interdiciplinary group and to collaborate with climate modelers at IUSS Pavia, atmospheric physicists at CNR Bologna, and hydrologists at the University of Padova. Specifically, candidates who completed PhD theses in Hydrology, Atmospheric Physics, Environmental Sciences, Statistics, or other related disciplines are sought. A strong background in stochastic modelling will be preferred. Other qualifications include significant programming skills and research abilities demonstrated by publications.
The successful candidate will be based at the Department of Civil, Environmental, and Architectural Engineering of the University of Padova and will collaborate with the Institute of Atmospheric Sciences and Climate of the National Research Council of Italy (CNR-ISAC) and the University School for Advanced Studies, Pavia. The candidate is expected to actively participate in the activities of the RESILIENCE team.
ExtREme Storms in the ItaLIan North-East: frequeNCy, impacts and projected changEs (RESILIENCE)