
Research Statistician in Flood Risk Analysis
3 days ago
We are seeking a highly skilled Research Associate to join our project, Flood-PREPARED. This 4-year initiative aims to develop an international leading capability for real-time surface water flood risk and impacts analysis for cities.
The successful candidate will devise a space-time model for rainfall that integrates data from various sources and develop a statistical emulator of an expensive hydrological flood prediction model. They will also implement computationally intensive Bayesian inferential methods for real-time forecasting of localised rainfall and flood prediction risk.
Required Skills and Qualifications:- PhD in Statistics or a closely related discipline.
- Expertise in Bayesian inference.
- Strong programming skills in R and a compiled language like C/C++ or Java/Scala.
This is a full-time, fixed-term position for 36 months. If you have expertise in computational modelling, we encourage you to apply.
Others:Excellent written and oral communication skills, as well as effective time management, are essential.
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