Research Associate in Weather and Climate Modelling with AI

Job description:

We have a great opportunity in the School of Electrical and Electronic Engineering for someone with a passion for research looking to use their skills in data-driven modelling techniques to advance our understanding of UK and Northwestern Europe's atmospheric circulation processes and especially how these might be affected by climate change.

You will join a world-leading, interdisciplinary project team composed of scientists from the Universities of Sheffield, Lincoln, Reading, Newcastle, and several other partner institutions such as the UK Met Office, who will work together to conduct highly-motivated research toward solving challenging real-life problems. Your  work on this project will help to enhance our strong international research profile.

You will build  transparent and interpretable models from observations of weather, climate and meteorological variables/signals related to UK and Northwestern Europe’s atmospheric circulation processes. This opportunity will help you develop your skills in multivariate data-driven modelling and nonlinear system identification approaches (especially NARMAX), to construct transparent, interpretable, parsimonious and  simulatable (TIPS) models that can help identify the drivers and causes of a complex system with many inputs.

We are seeking candidates with skills in interpretable machine learning (IML), as well as experience in parametric model identification of nonlinear systems with many inputs. As this role involves teamwork with other institutions towards solving a significant real world problem, you will develop creative solutions, plan your own workload, and prioritise conflicting priorities.

You will hold a PhD (or hold equivalent experience, or close to completion) in a related subject area. We are seeking applicants with expertise and skills in data-driven modelling, nonlinear system identification and interpretable machine learning.

The School of Electrical and Electronic Engineering (EEE) belongs to the prestigious Faculty of Engineering. We are one of the largest academic communities of engineers in the UK, ranked joint 1st for Research Environment in the latest Research Excellence Framework (REF 2021)! Our specific field (EEE) is also ranked very highly, which is a marker of our excellence and ambition (QS 2024: 11th in UK, The Guardian 2024: 3rd, The Times Higher 2024: 7th in the UK).

We are home to several national institutes and centres, for example;

• The National Epitaxy Facility,
• The National 6G Radio Systems Facility,
• Rolls-Royce Control, Monitoring and Systems Engineering University Technology Centre.

We strive to conduct fundamental research and innovation to address global challenges, as well as support the education of the next generation of engineers.

The University of Sheffield is a remarkable and inclusive place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a generous annual leave entitlement (with the ability to purchase more), a generous pension scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more.

Find out more at www.sheffield.ac.uk/benefits and join us to become part of something special!

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