Postdoctoral Researcher

**Job Description**
The successful candidate will join a team of climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 using machine learning. The role involves developing probabilistic machine learning emulators of multiple ice sheet and glacier models, based on large ensembles of simulations from international projects like PROTECT (EU Horizon 2020) and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7). These emulators will be used to project ice sheet and glacier contributions to global mean sea level, calibrate projections with observational data, and inform the IPCC AR7 and global stakeholders’ policymaking.

**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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