About the role

The IceDice project aims to provide reliable probabilistic forecasts of the West Antarctic Ice Sheet’s contribution to future sea level rise – information of enormous societal and economic value for coastal planning and climate adaptation worldwide.

Your research will develop and apply novel Bayesian machine learning methods – in particular physics-informed Gaussian processes and/or neural operators– to build accurate probability density functions (PDFs) of future Antarctic sea level contributions.

Working as part of a collaborative team spanning British Antarctic Survey and the University of Cambridge, you will be based at Lancaster and work with Dr Henry Moss to:

Develop machine learning emulators for the WAVI ice-sheet model to serve as efficient surrogates for large-scale Bayesian inference.
Develop utility-function-based experimental design methods to identify the computer simulations and observational surveys that maximise information about future sea level for a given computational cost.
Work closely with ice-sheet modellers at the British Antarctic Survey to apply probabilistic methods to realistic West Antarctic domains.
Publish high-quality research in leading peer-reviewed journals and present at national and international conferences.

What we’re looking for

PhD in statistics, machine learning, physics or a closely related discipline.
Research experience in Bayesian methods, probabilistic modelling, or scientific machine learning.
Experience with Gaussian processes, MCMC methods, or uncertainty quantification for expensive computational simulators.
An interest in applying mathematical methods to real-world environmental challenges, and willingness to collaborate across disciplinary boundaries.
Experience with Python, or equivalent scientific computing languages.

This is a full-time, fixed-term position for 22 months or until 31/08/2028 (whichever comes first). Flexible working arrangements will be considered, but you will be expected to be present on the Lancaster campus a minimum of two days per week.

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Senior Research Associate - MARS / IceDice

Lancaster University

Bailrigg, Lancaster LA1 4YW, UK

About the role

This is a Preview Listing…

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Senior Research Associate - MARS / IceDice

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Bailrigg, Lancaster LA1 4YW, UK

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Senior Research Associate - MARS / IceDice

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Senior Research Associate - MARS / IceDice

Lancaster University