• We are currently seeking a technician / lab manager to support both fieldwork and research. Applicants with a background in Earth or Environmental Sciences — and experience in either fieldwork, computational work, or ideally both — are encouraged to get in touch via email.

• MSc / PhD / Postdoc positions available in the HyDes project: Water Resources and Natural Hazards in Deserts:

Join the HyDes research project, focusing on extreme precipitation and water resources in global desert regions, and their interactions with surface processes and climate change.

The work involves a combination of:

• Remote sensing and in situ data analysis
• Field campaigns in desert environments
• Hydrological and climatic modeling
• Development of innovative research tools and methods

Applicants with backgrounds in Earth sciences, environmental sciences, computer science, physical geography, or related fields are encouraged to apply.

• Graduate student is wanted for research on the generation of desert floods

Interested in climate change in arid areas?
Want to study flood generation on a basin scale?
Enjoy field work and remote sensing analysis?
Required background:
Bachelor's degree in environmental sciences, geosciences, geography, or a related field. Experience in spatial data analysis. Programming and fieldwork experience are preferred.
Send CV, transcripts, and a short statement (up to half a page) describing your background and interest in the proposed research to: moshe.armon@mail.huji.ac.il / edente@geo.haifa.ac.il

• MSc/third year BSc student is wanted for a research project on Risks posed by dryland dams 

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

For other openings please contact Koko at moshe.armon@mail.huji.ac.il