Postdoctoral Research Assistant in Climate Physics x 2 posts

University of Oxford

Applications are invited for two Postdoctoral Research Assistants in Climate Physics.

The posts are available initially for a fixed-term duration of 30 months, with the possibility of extension by up to a further 6 months.

These positions will be part of the Horizon Europe project ‘European Eddy-Rich Earth System Model’s (EERIE) under the Horizon Europe Guarantee. 

This exciting initiative has partners from 17 institutes from across Europe and beyond. EERIE aims to reveal and quantify the role of ocean mesoscale processes in shaping the climate trajectory over seasonal to centennial time scales. To this end the consortium will develop a new generation of Earth System Models (ESMs) that are capable of explicitly representing a crucially important, yet unexplored regime of the Earth system – the ocean mesoscale. Leveraging the latest advances in science and technology, EERIE will substantially improve the ability of such ESMs to faithfully represent the centennial-scale evolution of the global climate, especially its variability, extremes and how tipping points may unfold under the influence of the ocean mesoscale.

Developing a new generation of ESMs brings with it many challenges. Here in Oxford, we will work to solve three key challenges. First, to speed up the simulations using a novel combination of machine learning and approaches from the stochastic parametrisation community. This is particularly necessary to efficiently spin-up these high-resolution ocean models to reach their equilibrium state. Second, to efficiently analyse the vast volumes of data output by these models to uncover new understanding about the role of the eddying ocean in the climate system. And third, to bridge the gap between these detailed and complex simulations and the highly idealised Integrated Assessment Models commonly used to assist with decision making for climate policy. We anticipate that all these three challenges will be solved, to at least some extent, using techniques from Machine Learning.

Each of the successful candidates will undertake independent research, and participate in the academic life of the Atmospheric Processes group and the AOPP sub-department.

Applicants should hold a PhD, or be close to completion, in physics, climate science, data science, or a related field.

Applicants should have a strong background in climate science with interest/experience in machine learning, or a strong background in machine learning with interest/experience in climate science.

Please direct enquiries about the roles to Hannah Christensen: [email protected]

Only applications received before midday (UK time) 30 June 2023 can be considered. You will be required to upload a supporting statement statement of research interests, CV and details of two referees as part of your online application.

Please indicate in your application if you would like to be considered for both positions, or else which of the two positions you would like to apply for.

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