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-learning techniques and previous collaboration with experimental groups or industrial partners would also be advantageous. You should be able to work effectively as part of a multidisciplinary team including
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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-Informed Reinforcement Learning Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates
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governance analyses. The role involves extended fieldwork in Mexico and close collaboration with UK- and Mexico-based partners, conservation organisations, and government agencies. You will contribute to high
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change and its relevance for present-day sustainability strategies. Alongside your research contribution, you will co-teach modules in Archaeology and Cultural Heritage. About you You have a PhD in
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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Applications are invited for a post-doctoral Research Fellow position within the Astronautics Group, in the Department of Aeronautics and Astronautics. The post will work on a collaborative project