Northumbria University
Job title:
Research Fellow in Deep Learning and large-scale Geophysical Modelling
Company
Northumbria University
Job description
Job Description:Deep-Learning and large-scale Geophysical ModellingA three-year postdoctoral research position in machine learning emulators of ice-ocean processes is available at . The position is a part of the project PRECISE: Prediction of Climate Change and Effect of Mitigating Solutions, funded by the . This is an international collaboration project involving several partners including the as a lead partner.You will be developing new approaches based on deep-learning methodologies to create fast emulators of large-scale geophysical models. 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, and you will be working as a part of an active and large research group at Northumbria University focusing on the including Profs Hilmar Gudmundsson and Jan De Rydt.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 large-scale geodynamic simulations. 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.As a part of this large international collaboration, you will be involved in scientific project meetings and will be able to attend conferences and international workshops in glaciology, ice-ocean interactions, and deep learning. The key goal of this post is to develop an ocean dynamics emulator capable of 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. Prior experience in machine learning is desirable, and a good knowledge of mathematics and physics is required. You will have a PhD in mathematics, physics, or geosciences.The application deadline is Sunday 11 May 2025.Further information is within the .We welcome applications from the UK and across the world. Visit our web pages for details about .If you would like an informal discussion about the role, please contact Prof Jan De Rydt and Prof Hilmar Gudmundsson.Hilmar Gudmundsson ( )Important dates:Closing date: 11 May 2025.Interview and selection date: w/c 19 May 2025.Start Date: flexible but aiming at September 2025.ABOUT USNorthumbria University is a research-intensive university that unlocks potential for all. We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named and in The Times and Sunday Times Good University Guide 2025.Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more .Northumbria University is a great place to work. We empower our exceptional people to achieve shared ambitions and promote a positive work life balance. We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and .Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are: Academic Excellence; Innovation; Inclusivity; Collaboration; and Ambition.Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are: We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other and we are bold.Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.Please visit page to find out more.We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff. We encourage and welcome applications from all members of the community. The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.We are committed to keeping your data safe so it’s important for you to know how we use any personal data you give us. For more detailed information, access our .
Expected salary
Location
Newcastle
Job date
Sun, 23 Mar 2025 07:26:12 GMT
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