진학프로석·박사 채용 접수 플랫폼

We are seeking to appoint a Postdoctoral Researcher for a three-year position in machine learning emulators of ice-ocean processes. The role is part of PRECISE: Prediction of Climate Change and Effect of Mitigating Solutions, an international collaboration led by the Niels Bohr Institute and funded by the Novo Nordisk Foundation.

About the Role

You will develop new approaches based on deep-learning methodologies to create fast emulators of large-scale geophysical models.

The specific goal is to develop an emulator of the MIT general ocean circulation model (MITgcm) for a regional configuration of the Southern Ocean to emulate ocean-induced melt rates at the underside of the ice shelves in the Amundsen Sea. Utilising the latest advances in deep-learning, you will create a general framework for emulating ice-shelf melt rates for a range of ocean thermohaline conditions and ice-shelf cavity geometries produced by the MITgcm model in a coupled configuration with a dynamical ice-flow model. The emulator will be constrained by physical principles and capable of producing output fields near-identical to those of a large-scale ocean circulation model, at a fraction of the computational cost.

Research Environment

You will join Northumbria University’s Future of Ice on Earth research group, one of the largest and most active ice-sheet and ice-ocean modelling communities in the world. You will be assisted by several experts in machine learning including Prof Wai Lok Woo at Northumbria University and Dr Hubert Shum at Durham University. The project provides opportunities to collaborate closely with international partners, participate in scientific project meetings, and present your work at leading conferences and workshops in glaciology, ice-ocean interactions, and deep learning.