At a Glance
- Tasks: Join a cutting-edge project using AI to model climate recovery and engage with stakeholders.
- Company: University of Southampton, part of a vibrant oceanographic and climate science community.
- Benefits: Generous holiday allowance, health facilities, flexible working, and career development support.
- Why this job: Make a real impact on climate change using advanced AI techniques in a supportive environment.
- Qualifications: PhD in AI/Machine Learning or climate science with experience in advanced AI methods.
- Other info: Encouraging diverse applicants and offering excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are seeking to recruit a Research Fellow in AI for Climate Modelling to become a member of the School of Ocean and Earth Science at the University of Southampton. The successful candidate will be part of the “Accurate projections of climate recovery from a combination of historical data, simple models and AI” Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical climate data, simple physics‑based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net‑zero future.
Responsibilities:
- Apply machine learning (ML) methods to discover reduced‑order models from data.
- Develop GenAI‑based techniques for generating high‑resolution climate projections.
- Engage with stakeholders to design user‑friendly interfaces that maximise impact.
The successful applicant will join an active ocean and climate physics group at the University of Southampton. You will be part of a vibrant oceanographic and climate science community at the School of Ocean and Earth Science and the National Oceanography Centre, working closely with national and international partners. The post is a fixed‑term appointment for 36 months (3 years), with the possibility of extension for up to one additional year, and is part of a UKRI Future Leaders Fellowship project awarded to Dr Duo Chan.
Qualifications:
- PhD (or equivalent) in Artificial Intelligence/Machine Learning, or climate science with substantial experience applying advanced AI methods to climate problems.
- Experience in developing or applying state‑of‑the‑art ML/AI approaches — such as deep learning, generative models, or equation discovery.
- Fluency in Python and experience with modern machine learning frameworks such as PyTorch or TensorFlow.
- Comfortable working with large, complex climate datasets in HPC or cloud environments.
- Strong quantitative problem‑solving and communication skills.
We welcome applications from all interested candidates and particularly encourage those who identify as Black, Asian, from a minority ethnic or lower socio‑economic background, LGBTQ+, women, or people with disabilities, as these groups are currently underrepresented in our community.
What We Can Offer You:
- An ambitious, supportive academic community committed to helping everyone reach their full potential in education, research, and enterprise.
- A departmental Athena SWAN Bronze award and an institutional Silver award.
- Value diversity, equality, and flexible working, and consider career breaks for reasons such as parental leave, disability, or illness.
- A generous holiday allowance, additional closure days, subsidised health and fitness facilities, and membership of the Universities Superannuation Scheme (USS).
- Support for early career researchers in line with the Concordat to Support the Career Development of Researchers.
For informal inquiries please contact Dr. Duo Chan (Duo.Chan@soton.ac.uk).
Research Fellow in AI for Climate Modelling in Southampton employer: University of Southampton
Contact Detail:
University of Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in AI for Climate Modelling in Southampton
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to AI and climate science. You never know who might have a lead on your dream job or can introduce you to someone at the University of Southampton.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python and machine learning frameworks like PyTorch or TensorFlow. Share specific examples of how you've tackled complex climate datasets or developed innovative models – this will really make you stand out!
✨Engage with the Community
Join online forums or social media groups focused on AI for climate modelling. Engaging in discussions can help you learn more about the latest trends and challenges in the field, plus it’s a great way to showcase your passion and expertise to potential employers.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to reach out and express their interest in joining our vibrant community.
We think you need these skills to ace Research Fellow in AI for Climate Modelling in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Fellow role. Highlight your experience with AI and climate modelling, and don’t forget to mention any relevant projects or skills that match the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI for climate modelling and how your background makes you a perfect fit for the team at the University of Southampton.
Showcase Your Technical Skills: Since this role requires strong Python and machine learning skills, be sure to showcase your proficiency in these areas. Mention specific frameworks like PyTorch or TensorFlow that you’ve worked with, and any large datasets you’ve handled.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets the attention it deserves, so don’t miss out!
How to prepare for a job interview at University of Southampton
✨Know Your AI and Climate Science
Make sure you brush up on the latest advancements in AI and how they apply to climate modelling. Be ready to discuss specific projects or techniques you've worked on, especially those involving machine learning frameworks like PyTorch or TensorFlow.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your quantitative problem-solving abilities. Think of challenges you've faced in previous research and how you tackled them using advanced AI methods. This will demonstrate your capability to handle complex climate datasets.
✨Engage with Stakeholders
Since the role involves designing user-friendly interfaces, be prepared to talk about your experience working with stakeholders. Share any instances where you’ve collaborated with non-technical teams to ensure your models are impactful and accessible.
✨Emphasise Your Communication Skills
Strong communication is key in this role. Practice explaining your research in simple terms, as you may need to present complex ideas to a diverse audience. Highlight any teaching or mentoring experiences that showcase your ability to convey information effectively.
