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 Mathematics & 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 difference in flood risk management while advancing your statistical skills.
- Qualifications: PhD in Statistics or related field, expertise in Bayesian methods, and strong programming skills.
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 or Dr Sarah Heaps.
RA in Bayesian Modelling of Flood Risk employer: The International Society for Bayesian Analysis
Newcastle University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the School of Mathematics & Statistics. As part of a leading research team, you will have access to cutting-edge resources and opportunities for professional growth, all while contributing to impactful projects like Flood-PREPARED that address real-world challenges in flood risk management.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land RA in Bayesian Modelling of Flood Risk
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Newcastle University, especially those in the School of Mathematics & Statistics. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work in Bayesian modelling and statistical computing. We want to see your programming prowess in R and any cool projects you've tackled using C/C++ or Java/Scala.
✨Tip Number 3
Ace the interview! Brush up on your communication skills and be ready to explain complex concepts in simple terms. We know you can do it, so practice with friends or family to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace RA in Bayesian Modelling of Flood Risk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Assistant in Bayesian Modelling. Highlight your expertise in Bayesian inference and any relevant projects you've worked on. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about flood risk modelling and how your background in statistics makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to mention your programming skills in R and any experience with C/C++ or Java/Scala. We’re looking for someone who can handle computationally intensive methods, so be sure to highlight any relevant projects or tools you’ve used.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of everything. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Bayesian Basics
Make sure you brush up on your Bayesian inference concepts before the interview. Be ready to discuss how you've applied these methods in your previous work, especially in relation to flood risk or similar projects.
✨Show Off Your Coding Skills
Since strong programming skills in R and a compiled language are crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve statistical computing.
✨Communicate Clearly
Excellent communication skills are a must for this role. Practice explaining complex statistical concepts in simple terms, as you may need to convey your ideas to team members who aren't specialists in statistics.
✨Prepare Questions About the Project
Show your enthusiasm by preparing insightful questions about the Flood-PREPARED project. This not only demonstrates your interest but also gives you a chance to engage with the interviewers and show that you've done your homework.
