Climate AI Research Fellow: GenAI Projections & ROMs

University of Southampton; Eastleigh; On-site; GBP 30,000 - 45,000; Full time

Job summary

An academic institution is seeking a Research Fellow in AI for Climate Modelling to contribute to a project aimed at creating accurate climate projections using machine learning methods. The successful candidate will apply advanced techniques, engage with stakeholders, and collaborate with a diverse group in the School of Ocean and Earth Science. This position offers an opportunity to work on innovative climate science and engage with leading researchers, with a fixed-term appointment of 36 months that may extend to 4 years.

Benefits

Generous holiday allowance

Subsidised health and fitness facilities

Universities Superannuation Scheme (USS)

Qualifications

• Substantial experience applying advanced AI methods to climate problems.
• Familiarity with state-of-the-art ML techniques.
• Experience handling large, complex climate datasets.

Responsibilities

• Apply ML methods to discover models from climate data.
• Develop techniques for high-resolution climate projections.
• Engage with stakeholders for user-friendly interface design.
• Collaborate with a multidisciplinary research group.

Skills

Machine Learning methods

Deep Learning

Generative Models

Python

PyTorch

TensorFlow

Problem solving

Communication

Education

PhD in AI/Machine Learning or Climate Science

Tools

HPC Systems

Cloud Environments

Job description

An academic institution is seeking a Research Fellow in AI for Climate Modelling to contribute to a project aimed at creating accurate climate projections using machine learning methods. The successful candidate will apply advanced techniques, engage with stakeholders, and collaborate with a diverse group in the School of Ocean and Earth Science. This position offers an opportunity to work on innovative climate science and engage with leading researchers, with a fixed-term appointment of 36 months that may extend to 4 years.