Analytics & Modeling Analyst - Flood Modeller

About the role

The Inland Flood team develops high-resolution, large-scale hydrologic and hydraulic models spanning hazard through loss, combining observations, reanalysis and climate data, numerical and statistical modelling, engineering methods, and data assimilation.

What you'll do

• Contribute to the development and application of large-scale flood hazard model components, including elevation models and other geospatial input layers
• Calibrate and validate model components with a focus on GIS, using observed data, published research, and benchmark datasets
• Evaluate model outputs such as flood footprints, hazard metrics, and loss patterns using statistical methods, visualisation, and GIS tools
• Advance flood model input layer preparation, including elevation models, land use data, and remotely sensed data, through research, evaluation
• Explore, prototype, and evaluate AI and ML methods for model-development challenges including surrogate modelling, spatial downscaling, feature extraction

What you need

• 0–2 yrs of experience
• Analytics
• Machine learning
• Deep learning
• PyTorch
• Statistics
• M.Sc

Good to have

• Python
• R
• C++
• C
• Bash
• Linux