Research Fellow in Cloud Modelling in Leeds
Research Fellow in Cloud Modelling

Research Fellow in Cloud Modelling in Leeds

Leeds Full-Time 41064 - 48822 ÂŁ / year (est.) Home office (partial)
Institute for Modern

At a Glance

  • Tasks: Join a world-leading team to improve weather and climate models through innovative research.
  • Company: University of Leeds, known for its collaborative and flexible working culture.
  • Benefits: 42 days holiday, generous pension, health perks, and personal development opportunities.
  • Why this job: Make a real impact on atmospheric modelling while developing your expertise in high-performance computing.
  • Qualifications: Experience in atmospheric modelling and data analysis is essential.
  • Other info: Flexible working arrangements and potential visa sponsorship available.

The predicted salary is between 41064 - 48822 ÂŁ per year.

This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.

Are you an ambitious atmospheric modeller ready to improve the representation of ice nucleation in weather and climate models? Do you have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale prediction?

You will join the project “From Toy to Cloud Modelling: Leveraging Molecular Simulations to Improve Atmospheric Models of Ice Nucleation” (NERC APP25329). The project is developing physically motivated statistical “toy models” of heterogeneous ice nucleation and using them to improve parameterisations of ice-nucleating particles (INPs) in weather and climate models.

Your focus will be the Leeds-based cloud-modelling work package: implementing new INP parameterisations derived from the toy models into a regional, cloud-resolving configuration of the Met Office Unified Model (UM) using the Cloud Aerosol Interacting MicroPhysics (CASIM) scheme, and quantifying the impacts on cloud microphysics, radiation and precipitation across a set of well-observed case studies (e.g. mixed-phase clouds at high latitudes and deep convection in marine and continental environments).

You will work closely with colleagues at Leeds and Warwick (who are developing and validating the toy/atomistic models) to translate physically informed INP spectra into robust, computationally efficient parameterisations suitable for operational-scale modelling.

The role provides an outstanding opportunity to develop expertise across aerosol–cloud interactions, model development and high-performance computing, while producing publishable research and contributing to knowledge exchange with the wider modelling community.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa. For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: www.gov.uk/global-talent.

What we offer in return:

  • 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme plus life assurance – the University contributes 14.5% of salary
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!

To explore the post further or for any queries you may have, please contact: Dr Thomas Whale Email: T.F.Whale@leeds.ac.uk

ÂŁ41,064 to ÂŁ48,822 per annum depending on experience (Grade 7)

Research Fellow in Cloud Modelling in Leeds employer: Institute for Modern

The University of Leeds is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in atmospheric modelling. With generous benefits including 42 days of holiday, a robust pension scheme, and access to state-of-the-art facilities, employees are supported in their personal and professional growth. The opportunity to work alongside world-leading researchers in a hybrid environment enhances the appeal of this role, making it a rewarding choice for those passionate about advancing climate science.
Institute for Modern

Contact Detail:

Institute for Modern Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Fellow in Cloud Modelling in Leeds

✨Tip Number 1

Network like a pro! Reach out to current or former employees at the university, especially those in similar roles. A friendly chat can give you insider info and might even lead to a referral.

✨Tip Number 2

Prepare for the interview by diving deep into the project details. Familiarise yourself with the specifics of ice nucleation and cloud modelling. Show us you’re not just interested, but passionate about the work!

✨Tip Number 3

Practice your presentation skills! You might need to explain complex concepts clearly. Use mock interviews with friends or colleagues to get comfortable discussing your research and ideas.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team at Leeds.

We think you need these skills to ace Research Fellow in Cloud Modelling in Leeds

Atmospheric Modelling
Numerical Modelling
Data Analysis
Cloud Microphysics
Ice Nucleation Parameterisations
High-Performance Computing
Model Development
Statistical Modelling
Computational Efficiency
Knowledge Exchange
Collaboration
Research Publication

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in atmospheric modelling and numerical models. We want to see how your skills align with the specific requirements of the Research Fellow role.

Showcase Your Passion: Let your enthusiasm for cloud modelling and ice nucleation shine through in your application. We love candidates who are genuinely excited about the research and can convey that passion in their writing.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This helps us quickly see why you’d be a great fit!

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your details correctly and can process your application smoothly.

How to prepare for a job interview at Institute for Modern

✨Know Your Models

Make sure you brush up on your knowledge of large numerical models and the specifics of ice nucleation. Be ready to discuss how you've developed and run these models in the past, and think about examples where your work has led to significant findings.

✨Connect the Dots

Prepare to explain how your molecular-scale insights can translate into cloud-scale predictions. Think about how you can articulate the importance of your research in the context of the project and its goals, especially regarding the toy models and their applications.

✨Collaborative Spirit

This role involves working closely with colleagues at Leeds and Warwick, so be prepared to discuss your experience in collaborative projects. Highlight any successful teamwork experiences and how you’ve contributed to joint research efforts in the past.

✨Ask Insightful Questions

Show your enthusiasm for the role by preparing thoughtful questions about the project and the team. Inquire about the specific challenges they face in implementing new INP parameterisations or how they measure the impacts on cloud microphysics. This shows you're genuinely interested and engaged.

Research Fellow in Cloud Modelling in Leeds
Institute for Modern
Location: Leeds

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