**Job Description**
This full-time position for the “Quantifying efficacy and risks of solar radiation management approaches using natural analogues” (QUESTION) project is based at the University of Birmingham. The role involves further developing and applying novel AI/machine learning approaches, specifically from Chen et al. (2022 & 2024, Nature Geoscience), to investigate the impacts of Stratosphere Aerosol Injection (SAI) on stratospheric chemistry (aerosol, ozone, chloride, water vapour) and highly influential impacts like ozone layer depletion, tropics drying, and ITCZ shifting. The research will utilize satellite remote sensing, meteorological reanalysis, AI, and global climate models to assess SAI efficacy and unintended consequences, underpinning risk-risk assessments for policymaking, in collaboration with the University of Edinburgh and CICERO.
**Skills & Abilities**
• Good understanding (or capacity to develop understanding) in relevant fields (e.g., atmospheric/climate science)
• Good programming skills in Python, MATLAB, R, or NCL
• Experience with UNIX/LINUX and High Performance Computing
• Ability to communicate complex information clearly
• Ability to assess resource requirements and use resources effectively
• Understanding of and ability to contribute to broader management/administration processes
• Ability to contribute to the planning and organising of the research project
• Ability to co-ordinate own work with others
• Knowledge of the protected characteristics of the Equality Act 2010
**Qualifications**
Required Degree(s) in:
• Atmospheric Science
• Climate Science
• Meteorology
• Computer Science
• Data-science
• Physics
• Mathematics
• Statistics
• Environmental Science
**Experience**
Other:
• PhD (or close to completion) or equivalent experience
• Publication record appropriate to experience
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