**Job Description**
The successful candidate will contribute to improving knowledge of Arctic fires and air pollution. This involves leading regional modelling analysis, applying machine learning methods to understand high latitude fire drivers, producing future fire scenarios, and assessing emission sources and chemical processes affecting regional pollutants under Arctic conditions. The role requires extensive collaboration with international partners within the ALPACA-UK and BorealBlaze projects. The focus will be on developing statistical models for boreal wildfires, undertaking and analysing regional atmospheric chemistry model simulations using WRF-CMAQ, and analysing field measurements from the ALPACA-2022 campaign.
**Skills & Abilities**
• Experience of running and analysing numerical models.
• 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
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