Research Fellow in Modelling of Arctic Atmosphere and Wildfire

**Job Description**
This research fellow position focuses on enhancing understanding of Arctic fires and air pollution through regional atmospheric modelling and machine learning. The role involves leading regional modelling analysis, applying machine learning methods to identify drivers of high-latitude fires, developing future high-latitude fire scenarios for various warming pathways, and assessing the contributions of emission sources and chemical processes to regional pollutants under Arctic conditions. The successful candidate will collaborate extensively with international partners on projects such as ALPACA-UK and BorealBlaze.

**Skills & Abilities**
• Appreciation of machine learning methods suitable for building models of environmental systems.
• Proven ability to tackle complex science problems using a combination of models and observations.
• Enthusiasm to work closely with international collaborators.

**Qualifications**
Required Degree(s) in:
• Atmospheric Science
• Climate Science

**Experience**
Other:
• Experience of running and analysing numerical models.

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