About Position / Job
The University of Southampton is inviting applications for a Research Fellow in AI for Climate Modelling within the School of Ocean and Earth Science, based at the National Oceanography Centre Southampton. This full-time, fixed-term role is funded for 36 months under the UKRI Future Leaders Fellowship project titled “Accurate projections of climate recovery from a combination of historical data, simple models and AI”, led by Dr Duo Chan.
The position focuses on developing advanced AI and machine learning methods to improve projections of climate warming and recovery in a net-zero future, combining historical climate data, physics-based models, and generative AI approaches. Strongly interdisciplinary, the project sits at the intersection of climate physics, oceanography, and artificial intelligence, contributing to next-generation climate-modelling tools. The role aligns closely with the University’s strategic strengths in climate science, oceanography, and computational modelling, offering opportunities for collaboration with national and international partners.
Position / Job Details
- Position: Research Fellow in AI for Climate Modelling
- Institution: University of Southampton
- Department: School of Ocean and Earth Science
- Research Field: AI for Climate Modelling
- Location: Southampton, United Kingdom
- Number of Posts: 1
- Job Type: Full-time, Fixed-term (Research Fellow)
- Start Date (Anticipated): To be confirmed
- Working Hours: Full-time
- Salary Range: £41,064 to £44,746 per annum
- Required Degree/Diploma: PhD
Research Area
- Artificial Intelligence and Machine Learning for Climate Science
- Reduced-order climate modelling
- Generative AI for high-resolution climate projections
- Climate recovery and net-zero climate scenarios
- Ocean and climate physics
Eligibility & Qualifications
Minimum Requirements:
- PhD (or equivalent) in Artificial Intelligence, Machine Learning, Climate Science, or a closely related discipline
- Strong experience applying advanced ML/AI methods to climate or environmental datasets
- Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
- Experience working with large-scale climate datasets in HPC or cloud environments
Preferred Qualifications:
- Experience with deep learning, generative models, or equation discovery
- Background in climate or ocean modelling
- Strong quantitative, analytical, and communication skills
- Interest in stakeholder engagement and user-focused model design
Key Responsibilities
- Develop and apply machine learning models for climate recovery projections
- Discover reduced-order models from historical climate data
- Design GenAI-based methods for high-resolution climate simulations
- Evaluate and iterate AI models for robustness and accuracy
- Collaborate with interdisciplinary researchers and external partners
- Engage with stakeholders to support impact-driven, user-friendly tools
Application Process
How to Apply
Applications must be submitted through the University of Southampton online recruitment system.
Required Documents:
- Curriculum Vitae (CV)
- Cover Letter
- Supporting statements as requested in the application portal
Important Dates
- Application Opens: Currently open
- Deadline: 10 January 2026 (11:59 pm GMT)
- Interview Date: To be confirmed
Useful Links
- Institution Website: University of Southampton
- Official Notification Link: Click here
- Apply Now: Apply Online via University of Southampton Careers Portal
More Job Opportunities: Click here
