Research Associate in Flood Risk Modelling
We are seeking a highly skilled researcher to contribute to our international leading capability for real-time surface water flood risk and impacts analysis for cities.
The successful candidate will play a key role in developing a space-time model for rainfall that integrates data from various sources, and a statistical emulator of an expensive hydrological flood prediction model, calibrated using observational data.
They will develop and implement computationally intensive Bayesian inferential methods that allow real-time forecasting of localised rainfall and flood prediction risk.
This is an excellent opportunity for a researcher with expertise in Bayesian inference and computationally intensive inferential methodology to make a significant impact in the field of computational Bayesian statistics.
Key Responsibilities:
* Develop a space-time model for rainfall that integrates data from various sources
* Implement computationally intensive Bayesian inferential methods for real-time forecasting of localised rainfall and flood prediction risk
* Develop and maintain a statistical emulator of an expensive hydrological flood prediction model
* Conduct research in computational Bayesian statistics and develop efficient programs for statistical computing
Requirements:
* PhD in Statistics or a closely related discipline
* Expertise in Bayesian inference and computationally intensive inferential methodology
* Strong programming skills in R and an efficient compiled language like C/C++ or Java/Scala
* Excellent written and oral communication skills and effective time management
Benefits:
This position offers a unique opportunity to work on a cutting-edge project with a talented team. The successful candidate will have access to state-of-the-art facilities and resources, and will be expected to publish their research in top-tier journals.
How to Apply:
Please submit your application, including your CV and a cover letter outlining your experience and qualifications, to [insert contact information]. We look forward to hearing from you.