PhD position at University of Padova (ITA) on the impact of climate change in river discharge regimes within the program “PhD Sustainable Development and Climate Change | PhD SDC” - Open call for applications (Deadline July 26th, 2024)
David K
Dear all,
We are looking for a motivated PhD student within the program “PhD in Sustainable Development and Climate Change | PhD SDC” at the Research Center on Climate Change Impacts, University of Padova. The PhD scholarship will focus on the impact of climate change in river discharge regimes.
The candidate will work with an active and dynamic research team from the Department of Civil, Environmental and Architectural Engineering (ICEA) and the Department of Land, Environment, Agriculture And Forestry (TESAF) of University of Padua. Moreover, this scholarship will have a period of research abroad of 6 months and a period of internship in a national agency focused in environmental monitoring and protection.
The application deadline is on July 26th, 2024.
More information about the position and how to apply can be found here:
https://www.phd-sdc.it/how-to-apply
Ideal candidate:
The candidate should have a basic background on hydrology, statistics, environmental fluid dynamics, climate change, remote sensing as well a basic knowledge of any programming environment for data analysis and environmental modelling. The candidate should also have soft skills such as flexibility and adaptability in the workplace, ability to address work challenges, interacting with others, working in teams, working in open, multicultural and flexible environments, mastering the tools for communication, dissemination and public speaking
Research Focus:
This proposed research is aimed to investigate the impact of current and future changes of precipitation regimes and land use on runoff and flow propagation processes at large scale. This broad topic requires investigations on the state of the art of statistical hydrology for extreme events but also how it can be coupled with the current physically based (or physics-informed machine learning) methods for rainfall-runoff and flow propagation models and how these frameworks can be enhanced by the synergistic adoption of in situ measurements and remotely sensed data for large scale (e.g. regional or at multi-basin scale) assessments. The research topic will also adopt a probabilistic framework to investigate on how uncertainties related to statistical hydrology (e.g. synthetic rainfall events changing through time), as respect to other uncertainties related to measurements of the input variables (e.g. uncertainties in rainfall/flow measurements), model parameters and model structure (e.g. simplification of the physical processes) can impact on prediction of variables of interests such as water levels, water extensions, erosion/deposition processes and potential risks and damages on population and assets
Feel free to contact me with questions about the project,
Best regards,
Antonio