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- Tasks: Join a cutting-edge research team to develop innovative numerical methods for climate simulations.
- Company: Imperial College London, a leading institution in mathematics and scientific research.
- Benefits: Collaborative environment, access to top-tier resources, and opportunities for professional growth.
- Why this job: Make a real impact on climate science while working with experts in the field.
- Qualifications: PhD in Applied Mathematics or related field with strong research experience.
- Other info: Engage with multiple universities and contribute to groundbreaking research.
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 flowCollaborate with Dr Colin Cotter and other team membersCommunicate with and visit collaborators in other universities and partners at the Met OfficeEssential Requirements:A PhD (or equivalent) in Applied Mathematics or closely related fieldResearch experience in design, analysis and implementation of numerical discretisations of partial differential equationsClear evidence of outstanding promise and originality in research, with a good publication record, commensurate with career stageA strong background in numerical discretisations for partial differential equationsExcellent written communication skills and the ability to write clearly and succinctly for publicationAbility to identify, develop and apply new concepts, techniques and methodsClosing 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 current or former employees at Imperial College London, especially those in the Department of Mathematics. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your numerical analysis skills. We recommend reviewing recent publications related to time-parallel methods and the rotating shallow water equations. This will show your genuine interest and expertise during discussions.
✨Tip Number 3
Showcase your research experience! Be ready to discuss your past projects and how they relate to the role. We want to hear about your innovative approaches and any challenges you overcame in your research.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
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 PhD and any relevant research experience, especially in numerical analysis and partial differential equations. We want to see how your background aligns with the role!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Discuss your experience with time-parallel methods and any projects you've worked on that relate to atmosphere and ocean simulation. Be genuine and let your passion shine through!
Showcase Your Publications: If you have a good publication record, make sure to mention it! Include any papers or articles that demonstrate your originality and promise in research. This is your chance to show us what you've achieved so far.
Apply Through Our Website: Don't forget to apply through our website! It’s the easiest way for us to keep track of your application. Plus, it shows you’re serious about joining our team at Imperial College London.
How to prepare for a job interview at MPOWIR Mentoring Physical Oceanography Women to Increase Retention
✨Know Your Research
Make sure you’re well-versed in the latest developments in numerical analysis and scientific computing. Familiarise yourself with Dr Colin Cotter's work and the specific methodologies mentioned in the job description, like time-parallel methods and compatible finite element methods. This will show your genuine interest and understanding of the role.
✨Prepare for Technical Questions
Expect to dive deep into your research experience, especially regarding numerical discretisations of partial differential equations. Brush up on your past projects and be ready to discuss your approach, challenges faced, and how you overcame them. This is your chance to showcase your problem-solving skills!
✨Showcase Your Communication Skills
Since the role involves collaboration with other universities and partners, highlight your ability to communicate complex ideas clearly. Prepare examples of how you've effectively communicated your research in publications or presentations. This will demonstrate that you can convey your findings succinctly to diverse audiences.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the project or the team dynamics. This not only shows your enthusiasm but also helps you gauge if the environment aligns with your working style. For instance, ask about the collaborative aspects of the project with the Met Office or other universities.
