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10th November 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics on AI-Modeling for Prediction of Waves and Sea Loads
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, DeepFDM, MINO, etc., but also other methods for generative models in function spaces. Develop multiscale (resolution-invariant) AI models for wave kinematics and sea loads on ships, considering also phase
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streampower modelling offer the opportunity of dramatic new insights. The findings will provide a window into the wider question of the impact of extremes (e.g. in rainfall) on ocean islands, itself reflective
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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1-dimensional ocean-ice model. You will identify any long-term changes in ocean CO2 uptake along the Antarctic Peninsula using data from Rothera, SOCAT (www.socat.info) and mapped CO2 products, while
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Anglia and the British Antarctic Survey (BAS), to develop an integrated greenhouse-gas ocean biogeochemistry model. You will apply the integrated model to assess the combined oceanic greenhouse-gas
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) sea nomads’ fishing territories in the Philippines. Each of the four PhD candidates will identify and trace evolutionary pathways in climate adaptation of one specific socio-ecological system
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Primary Supervisor - Prof Ian Renfrew Scientific background Arctic climate change and the associated sea-ice retreat are having significant impacts on both the atmosphere, the ocean and their
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Theoretical models for gravitational wave signals emitted by coalescing compact binaries are the cornerstone of modern gravitational wave astrophysics. Among the most pressing challenges