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- Tasks: Design and implement innovative numerical methods for atmosphere and ocean simulations.
- Company: Join the prestigious Department of Mathematics at Imperial College London.
- Benefits: Collaborate with top researchers and gain valuable experience in a cutting-edge field.
- Why this job: Make a real impact on climate research while advancing your academic career.
- Qualifications: PhD in Applied Mathematics or related field with strong research experience.
- Other info: Opportunity to collaborate with leading universities and the Met Office.
The predicted salary is between 36000 - 60000 £ per year.
Research Associate in Numerical Analysis and Scientific Computing, Imperial College London
Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London. The position is funded by the Natural Environment Research Council and will be part of a multi-university group in the UK (Imperial College London, Exeter, Leeds, Surrey) focusing on time-parallel numerics for atmosphere and ocean simulation.
The project will involve working closely with Dr Colin Cotter on the design, implementation and analysis of time-parallel methods for atmosphere and ocean flow, focusing on fundamental proof-of-concept studies using the rotating shallow water equations on the sphere. The spatial discretisation will be based upon compatible finite element methods, implemented using the run-time code generation library Firedrake, also developed at Imperial College London. The postholder will be required to communicate with and visit our collaborators in other universities and our partners at the Met Office.
Duties and Responsibilities:
- Work on the design, implementation and analysis of time-parallel methods for atmosphere and ocean flow
- Collaborate with Dr Colin Cotter and other team members
- Communicate with and visit collaborators in other universities and partners at the Met Office
Essential Requirements:
- A PhD (or equivalent) in Applied Mathematics or closely related field
- Research experience in design, analysis and implementation of numerical discretisations of partial differential equations
- Clear evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stage
- A strong background in numerical discretisations for partial differential equations
- Excellent written communication skills and the ability to write clearly and succinctly for publication
- Ability to identify, develop and apply new concepts, techniques and methods
Closing date: 7 July 2019
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Research Associate in Numerical Analysis and Scientific Computing, Imperial College London employer: MPOWIR Mentoring Physical Oceanography Women to Increase Retention
Contact Detail:
MPOWIR Mentoring Physical Oceanography Women to Increase Retention Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Numerical Analysis and Scientific Computing, Imperial College London
✨Tip Number 1
Network like a pro! Reach out to your connections in academia and industry, especially those who might know Dr Colin Cotter or have worked on similar projects. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a mini-presentation or a portfolio of your previous work related to numerical analysis and scientific computing. This will help you stand out during interviews and discussions with potential collaborators.
✨Tip Number 3
Be proactive! If you see an opportunity to contribute to ongoing research at Imperial or other universities, don’t hesitate to reach out. Expressing your interest can lead to collaborative projects and even job offers.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets the attention it deserves. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Research Associate in Numerical Analysis and Scientific Computing, Imperial College London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Associate position. Highlight your experience in numerical analysis and any relevant projects you've worked on, especially those involving partial differential equations. We want to see how your background aligns with the role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this research area and how your skills can contribute to the project. Be sure to mention your experience with time-parallel methods or similar techniques, as that’s key for us.
Showcase Your Publications: If you have a publication record, make sure to include it! Highlight any papers that demonstrate your originality and promise in research. This will help us see your potential and how you can bring value to our team at Imperial College London.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved. We can’t wait to see what you bring to the table!
How to prepare for a job interview at MPOWIR Mentoring Physical Oceanography Women to Increase Retention
✨Know Your Stuff
Make sure you brush up on your knowledge of numerical analysis and scientific computing. Familiarise yourself with the rotating shallow water equations and compatible finite element methods. Being able to discuss these topics confidently will show that you're serious about the role.
✨Showcase Your Research Experience
Prepare to talk about your previous research projects, especially those involving partial differential equations. Highlight any publications you've contributed to and be ready to discuss your approach to design, analysis, and implementation. This will demonstrate your originality and promise in research.
✨Collaboration is Key
Since this role involves working closely with Dr Colin Cotter and other collaborators, think about examples from your past where you've successfully worked in a team. Be prepared to discuss how you communicate and collaborate effectively, especially in a multi-university setting.
✨Ask Insightful Questions
Prepare some thoughtful questions about the project and the team dynamics. Asking about the future direction of the research or how the team collaborates with the Met Office shows your genuine interest in the position and helps you assess if it's the right fit for you.
