This is an exceptional opportunity for a motivated Research Fellow to join the esteemed School of Ocean and Earth Science at the University of Southampton. You will be a pivotal member of an innovative Future Leaders Fellowship project focused on developing next-generation climate modelling tools. This project, led by Dr. Duo Chan, aims to significantly improve the accuracy of climate warming and recovery projections by integrating historical data, simplified physics-based models, and cutting-edge Artificial Intelligence (AI).
If you are passionate about contributing to solutions for a net-zero future and eager to push the boundaries of climate science, this role offers a compelling career trajectory. You will be instrumental in developing observation-constrained reduced-order models capable of reproducing complex Earth System Model (ESM) simulations. Your responsibilities will include in-depth analysis of state-of-the-art ESM simulations to identify key processes driving inter-model differences. Subsequently, you will leverage these insights to construct reduced-order models and refine their parameters using historical instrumental and palaeo-proxy records through advanced Bayesian methods.
This Research Fellow position offers a unique chance to make a significant contribution to climate science while advancing your own professional development within a supportive and forward-thinking institution. It's an excellent stepping stone for those aspiring to leadership roles in climate research and modelling.