Postdoctoral Research Associate in Machine Learning for Sea Level Rise

**Job Description**
This role involves joining a team of climate scientists and artificial intelligence experts to develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models. The objective is to generate new projections of the land ice contribution to global mean sea level rise until 2300, utilizing large ensembles of simulations from international projects like PROTECT and ISMIP7. The research will inform the IPCC Seventh Assessment Report (AR7) and contribute to adaptation and mitigation policymaking by global stakeholders.

**Skills & Abilities**
• Experience in using machine learning methods to analyse datasets
• Experience in statistical or scientific programming (ideally R and/or Python)
• Experience in analyzing large and/or complex datasets
• Interest in quantifying uncertainties for computer models and/or climate predictions
• Ability to work in a team
• Ability to communicate orally in English
• Ability to write clearly in English
• Knowledge about sea level rise or polar climate change (Desirable)
• Experience in working with data from ice sheet, glacier or climate models (Desirable)
• Experience working in a multi-disciplinary team (Desirable)

**Qualifications**
Required Degree(s) in:
• Mathematical Sciences
• Physical Sciences
• Computational Sciences

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