| Location: | Newcastle upon Tyne |
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| Salary: | £48,337 to £51,258 per annum |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 15th October 2026 |
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| Closes: | 27th October 2026 |
| Job Ref: | 29828 |
The EXTREME-FUTURES project will develop a seamless framework for predicting hydroclimatic extremes by connecting global climate drivers, regional weather regimes and extreme events across weather-to-climate timescales. The project focuses on persistent and connected extremes, including heatwaves, floods, storms and compound events, and will combine causal inference, feature tracking, observations and reanalysis, high-resolution modelling, and AI/machine learning.
As Senior Research Associate, you will lead key analyses within Work Package 1:Causal Pathways. You will identify extreme and compound temperature and precipitation events across multiple spatial and temporal scales; investigate the interactions between large-scale climate drivers, circulation regimes and atmospheric features that create pathways to extremes; and develop statistical and AI/ML approaches to identify semi-predictable pathways. The work will begin in Europe, using established weather-regime classifications and comprehensive observations, and will then expand globally. You will work closely with colleagues at ETH Zurich, the UK Met Office, ECMWF and the wider EXTREME-FUTURES team, contributing to WP1’s key outcome: a seamless framework for impactful hydroclimatic events from weather to climate scales.
As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research Innovation Role Profiles. These profiles set out firstly the generic competencies and responsibilities expected of role holders at each level and, secondly, the general qualifications and experiences needed for entry at a particular level.
Newcastle University is committed to the responsible use of research metrics as part of our research culture and research strategy. We advocate for the transparent, appropriate, and inclusive use of metrics, guided by expert judgment, to support high-quality, impactful research that is open, collaborative and sustainable.
Contact for the post: Professor Hayley Fowler
Duration of post: 24 months
To apply , please upload your CV along with covering letter that evidences how your skills and experience aligns to the person specification as outlined within the job description.
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