At a Glance
- Tasks: Conduct groundbreaking research on solar radiation management using machine learning techniques.
- Company: Join the University of Edinburgh, a leading research institution with a vibrant community.
- Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
- Other info: Collaborate internationally and advance your career in a supportive environment.
- Why this job: Make a real impact on climate modelling and contribute to global sustainability efforts.
- Qualifications: PhD in a quantitative field and strong programming skills required.
The predicted salary is between 41064 - 48822 £ per year.
Grade UE07: £41,064 to £48,822 per annum pro-rata if part-time
College of Science and Engineering / School of GeoSciences
Full-time: 35 hours per week
Fixed-term: for 24 months, with start date of 1st September 2026, or as soon as possible thereafter
The University of Edinburgh is a world-class, research-intensive institution. We offer a supportive working environment, excellent facilities, and opportunities for professional development within a diverse and international community.
The Opportunity
This is an Academic Research (Postdoctoral Research Associate) opportunity within the School of GeoSciences. We seek a postdoctoral research associate (PDRA) for a 24‑month position to work on the UK NERC‑funded grant "Quantifying Efficacy and risks of solar radiation management (SRM) approaches using natural analogues". The project will use novel machine‑learning‑based methods to determine the climate response to a range of natural events (e.g. wildfires, volcanic eruptions) which can be used as analogues of SRM to provide evidence for informing model improvement without worry about the risks of field experiments. The derived large‑scale observational constraints will be used to constrain and advance climate models, and to attribute climate response to SRM. This position will target a critical problem in climate modelling to improve cloud scheme that contributes one of the most important uncertainties in climate projections (Wang et al 2026, Nature Communications). Wang et al (2026) found that climate models largely underestimated cloud cover response to aerosol perturbation, pointing a key direction for improving climate projections.
You will work closely with a Scientist at ETH Zurich to apply a new Neural Network‑Based Cloud Fraction scheme into UKESM (UK Earth System Model) and design sensitivity experiments to test its effect, and lead the further improvement of cloud fraction scheme for climate simulations. This post is full-time (35 hours per week), however, we are open to considering part‑time or flexible working patterns. We are also open to considering requests for hybrid working (on a non‑contractual basis) that combines a mix of remote and regular on‑campus working.
Your skills and attributes for success
- PhD in a highly quantitative subject, such as, but not limited to, atmospheric or climate science, meteorology, physics, earth observation.
- Expertise in working with climate modelling, ideally experience with model development with FORTRAN.
- Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL.
- Proven ability to work both independently and as part of a team.
- Experience of disseminating findings through scientific publications and conference presentations.
Benefits
- A competitive salary.
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community.
- Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family‑friendly initiatives, and flexible work options.
Championing equality, diversity, and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Right to work
Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages. The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.
Key dates to note
Closing date for applications: 15th June 2026.
Closing time for applications: 11:59 pm (UK time). If you are applying from outside the UK, the closing time shown on our adverts will automatically adjust to your browser’s local time zone.
Postdoctoral Research Associate in Solar Radiation Management employer: University of Edinburgh
The University of Edinburgh is an exceptional employer, offering a dynamic and supportive environment for research professionals. With a commitment to equality, diversity, and inclusion, employees benefit from comprehensive staff perks, including generous leave, a defined benefits pension scheme, and flexible working options. The opportunity to collaborate with leading scientists and contribute to groundbreaking climate research makes this position not only rewarding but also pivotal in advancing global understanding of climate change.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Solar Radiation Management
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Edinburgh, especially those in the School of GeoSciences. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the project details. Familiarise yourself with solar radiation management and the specific methodologies mentioned in the job description. This shows us you're genuinely interested and ready to contribute.
✨Tip Number 3
Showcase your skills! Bring examples of your previous work, especially any relevant research or programming projects. We love seeing how you’ve applied your expertise in real-world scenarios.
✨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’re always on the lookout for passionate candidates like you!
We think you need these skills to ace Postdoctoral Research Associate in Solar Radiation Management
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant skills and experiences that match the job description. We want to see how your background in climate science and programming fits perfectly with our project!
Showcase Your Research Experience:Don’t forget to include details about your previous research, especially any publications or presentations. We love seeing how you’ve contributed to the field and how that can benefit our team at StudySmarter.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for climate modelling and your qualifications shine through without unnecessary fluff!
Apply Through Our Website:We encourage you to submit your application via our website. It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing candidates like you!
How to prepare for a job interview at University of Edinburgh
✨Know Your Research Inside Out
Make sure you’re well-versed in the specifics of solar radiation management and the project’s goals. Familiarise yourself with the key literature, especially Wang et al (2026), and be ready to discuss how your expertise aligns with the research objectives.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming skills in languages like Python or FORTRAN. Bring examples of past projects where you’ve used these skills, particularly in climate modelling or data visualisation, to show how you can contribute to the team.
✨Highlight Teamwork and Independence
Be ready to discuss instances where you’ve successfully worked both independently and as part of a team. This role requires collaboration, so share specific examples that illustrate your ability to balance both aspects effectively.
✨Prepare Questions for Them
Think of insightful questions to ask about the project, the team dynamics, or future research directions. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
