At a Glance
- Tasks: Develop innovative models for rainfall and flood prediction using real-time data.
- Company: Join Newcastle University’s cutting-edge research team in statistics.
- Benefits: Full-time position with a competitive salary and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful research and career development.
- Why this job: Make a real impact on urban flood risk management through advanced statistical modelling.
- Qualifications: PhD in Statistics or related field, with expertise in Bayesian methods.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking to appoint a Research Associate in Statistics to the 4-year Natural Environment Research Council funded “Highlights” project, Flood-PREPARED: Predicting rainfall events by physical analytics of real-time data.
Project Overview
The project is made up of a research team from Newcastle University who will develop an international leading capability for real-time surface water flood risk and impacts analysis for cities.
Responsibilities
- The appointed researcher will devise a space-time model for rainfall that can integrate data from a variety of 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.
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 for statistical computing
- Excellent statistical computing skills, including familiarity with modern statistical tools and libraries
- Strong programming skills in R and an efficient compiled language like C/C++ or Java/Scala
- Excellent written and oral communication skills and skills in effective time management
The post is full time and fixed-term for 36 months.
Informal enquiries can be made to Professor Darren Wilkinson (darren.wilkinson@ncl.ac.uk) or Dr Sarah Heaps (sarah.heaps@ncl.ac.uk).
RA in Bayesian Modelling of Flood Risk in Newcastle upon Tyne employer: The International Society for Bayesian Analysis
Imperial College London is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and research excellence. With strong connections to cutting-edge initiatives in data science and machine learning, employees benefit from ample opportunities for professional growth and development in a prestigious academic environment. Located in the heart of London, the college provides a stimulating atmosphere that encourages meaningful contributions to diverse fields such as astrophysics, biology, finance, and healthcare.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
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