At a Glance
- Tasks: Investigate climate model errors and analyse datasets to improve climate predictions.
- Company: Join a leading research-intensive university with a focus on climate science.
- Benefits: 42 days holiday, generous pension, and access to top-notch gym facilities.
- Other info: Flexible working arrangements and opportunities for international collaboration.
- Why this job: Make a real impact in climate science while advancing your research career.
- Qualifications: PhD in Atmospheric, Ocean or Climate Science and experience with climate models.
The predicted salary is between 30000 - 40000 € 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 researcher looking for your next challenge? Do you have a background in weather and climate science? Do you want to further your career in one of the UK’s leading research-intensive Universities?
You will join a team of climate scientists at the University of Leeds to work on the new NERC-funded (4SEE) project. 4SEE is a 4-year project coordinated by the University of Exeter and involving the National Oceanography Centre and the UK Met Office.
You will work with Prof Amanda Maycock and Dr Juliane Schwendike to investigate the mechanisms underlying weak atmospheric circulation signals in extratropical climate predictions and projections. You will analyse reanalysis datasets and climate model simulations to establish the representation of different processes related to atmospheric dynamics (eddy mean flow interaction, atmosphere-ocean coupling, teleconnections), identify model errors in the representation of these processes, and their implications for climate predictions and future projections. You will work collaboratively with scientists across the project.
You will have, or be close to obtaining, a PhD in the field of Atmospheric, Ocean or Climate Science and have extensive experience of using models and observations to study weather and climate processes. You will have knowledge of atmospheric dynamics. You will have evidence of a strong commitment to publishing scientific results at an international level.
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: https://www.gov.uk/global-talent.
Benefits:
- 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.
Research Fellow in signal-to-noise errors in climate models employer: University of Leeds
The University of Leeds is an exceptional employer for ambitious researchers, offering a vibrant work culture that fosters collaboration and innovation in climate science. With flexible working arrangements, generous holiday allowances, and a strong commitment to employee development, you will thrive in an environment that prioritises your professional growth while contributing to impactful research on climate models. Join a leading research-intensive university where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in signal-to-noise errors in climate models
✨Tip Number 1
Network like a pro! Reach out to current or former researchers at the University of Leeds or those involved in the 4SEE project. A friendly chat can give you insider info and might just land you a foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of atmospheric dynamics and recent climate research. We want to see your passion and expertise shine through, so be ready to discuss your previous work and how it relates to the role.
✨Tip Number 3
Showcase your collaborative spirit! This role involves working with a team, so highlight any past experiences where you've successfully collaborated with others on research projects. Teamwork makes the dream work!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Fellow in signal-to-noise errors in climate models
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Fellow. Highlight your experience in weather and climate science, and don’t forget to mention any relevant projects or publications that showcase your skills.
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 background aligns with the goals of the 4SEE project. Keep it engaging and personal!
Showcase Your Collaborative Spirit:Since this role involves working with a team of scientists, make sure to highlight any collaborative projects you've been part of. We love seeing evidence of teamwork and how you contribute to group success.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need to complete your application smoothly.
How to prepare for a job interview at University of Leeds
✨Know Your Climate Science
Make sure you brush up on your knowledge of atmospheric dynamics and climate models. Be ready to discuss specific examples from your research that relate to the role, especially around signal-to-noise errors in climate predictions.
✨Show Your Collaborative Spirit
This position involves working with a team of scientists, so highlight your experience in collaborative projects. Share examples of how you've successfully worked with others to achieve research goals, as teamwork is key in this role.
✨Prepare for Technical Questions
Expect to face technical questions related to reanalysis datasets and model simulations. Review your past work and be prepared to explain your methodologies and findings clearly, demonstrating your expertise in using models and observations.
✨Express Your Publishing Commitment
Since the role requires a strong commitment to publishing at an international level, be ready to discuss your publication history. If you have any upcoming papers or projects, mention them to show your ongoing dedication to advancing climate science.
