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Job Details
Experience Level: Experienced Hire Categories:
- ESG Analytics, Data & Research
- Minster Building, 21 Mincing Lane, 2nd Floor, London, EC3R 7AG, GB
- Contribute to the scientific and technological development of the large scale flood hazard model components, as well as to their application: space-time stochastic rainfall model, rainfall-runoff processes, hydraulic routing modelling, high-performance models for floodplain inundation and defense failure mechanisms
- Further advancement of flood hazard models by researching and implementing novel scientific techniques (e.g. Machine learning in flood prediction, inundation, forecasting etc.)
- Calibrate and validate model components throughout the comparison to observed data including benchmarking of flood inundation maps
- Evaluate final model output (e.g., flood footprints, flood losses and their spatial patterns using statistical methods and GIS tools)
- Advancement of our models through research and implementation of novel scientific techniques (e.g. meteorological drivers of extreme floods, large scale patterns of flooding, trends and impact of regional flood risk, etc..)
- Communicating research to clients and other stakeholders across teams
- PhD in Hydrology, Hydraulics, Coastal and Ocean Engineering, Applied Mathematics, or a related discipline. Strong candidates with a relevant MSc and appropriate research or work experience will also be considered
- Strong programming ability in scientific and analytical scripting/programming languages (e.g. Fortran, R, Python, bash, CUDA, C/C++)
- Strong analytical skills and ability to effectively communicate insights to internal and external stakeholders
- Knowledge of Machine Learning techniques applied to large environmental datasets
- Experience working with large scale climate model datasets (e.g. GCMs, RCMs, or CORDEX)
- Familiarity with large scale model development projects on HPC environments in Linux
- Understanding of data-assimilation and/or forecasting environments, GIS tools, SQL and a strong publication record
- Strong knowledge of statistics and probability theory
About the Company
Moody's
New York City, NY, United States
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business... Read more