Drylands (arid and semi-arid regions) are characterised by high-variance low-mean rainfall. Additionally, in-situ rain measurements are scarce, and therefore, basic hydrological knowledge in drylands is inadequate. Nevertheless, drylands host many artificial dams built to mitigate flood impacts, water resource management, agriculture, and electricity production. These dams often are ineffective – they either remain empty or collapse due to floods, as in the case of the September 2023 flood in Libya, with thousands of casualties.

The study will use satellite-based rainfall data, advanced statistical analysis, and spatial analysis tools to investigate the risks posed by dryland dams worldwide.

Proficiency or willingness to learn computer programming (Python, Matlab), spatial analysis (GIS, Google Earth Engine) is required.

The research will be in collaboration with researchers from the University of
Haifa and the University of Boulder Colorado.

Eligible candidates, please send CV and transcripts to Koko Armon:
moshe.armon@mail.huji.ac.il