Real-Time Bayesian Flood Risk Modeller

The International Society for Bayesian Analysis; Newcastle upon Tyne; On-site; GBP 30,000 - 40,000; Full time

Job summary

A prestigious academic institution in Newcastle upon Tyne is seeking a Research Assistant/Associate in Statistics to work on the Flood-PREPARED project. The role involves developing a space-time model for rainfall and implementing Bayesian methods for real-time flood prediction. Candidates should have a PhD in Statistics, expertise in Bayesian inference, and strong programming skills in R and another efficient compiled language.

Qualifications

• PhD in Statistics or a closely related discipline (awarded or in submission).
• Expertise in Bayesian inference and computationally intensive inferential methodology.
• Track record of research in computational Bayesian statistics and developing efficient programs.

Responsibilities

• Devise a space-time model for rainfall integrating various data sources.
• Develop and implement Bayesian inferential methods for real-time rainfall forecasting.

Skills

Bayesian inference

Statistical computing

Programming in R

C/C++ or Java/Scala

Time management

Education

PhD in Statistics or closely related discipline

Tools

Modern statistical tools and libraries

Job description

A prestigious academic institution in Newcastle upon Tyne is seeking a Research Assistant/Associate in Statistics to work on the Flood-PREPARED project. The role involves developing a space-time model for rainfall and implementing Bayesian methods for real-time flood prediction. Candidates should have a PhD in Statistics, expertise in Bayesian inference, and strong programming skills in R and another efficient compiled language.