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and experience in acoustics and/or vibration, supported by detailed understanding. Basic understanding and knowledge of numerical modelling using the Finite Element Method/Boundary Element Method
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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characterisation facilities (thermogravimetric analysis, X-ray diffraction, Raman, optical and SEM/EDX microscopy, etc.) as well as versatile synthesis instrumentation and a fully equipped battery research
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able