- A PhD or similar experience in computational hydrology, land-surface modelling, climate science or similar field
- Demonstrated experience running large-scale hydrological models and working in HPC environments
- Strong understanding of the processes driving river floods and familiarity with large-scale open datasets characterising hydroclimate dynamics and landscape attributes
- Fluency in Python and familiarity with software development best practices, including version control (Git/GitHub)
- A pragmatic approach to numerical problem-solving and strong innovation skills demonstrated through academic or project work
- And last but certainly not least, an inspiring and supportive team player with an open mind
Applications will be reviewed as they arrive and the position will remain open until the right person is found. Please consider forwarding this post to potential candidates.
Best wishes,
Nans