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, compressible flow, aerodynamic analysis and optimisation would be an advantage. Broader experience of engineering computational modelling and optimisation methods would also be and advantage. As part of
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the Portable Document Format (.pdf). The files must be designated with the name and surname of the candidate and must not exceed 5 MB combined. These files can be compressed in .zip format. 16.7
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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data
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-hardware co-design of neural architectures, memory hierarchies, and communication systems Model compression and optimization (pruning, quantization, knowledge distillation) for edge deployment FPGA- and ASIC
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About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been
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. Joerg Hoffmann at University of Saarland. 2) 1-2 PhD students working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on the topic of developing novel approaches for learning, compressing, and
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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Rolls-Royce UltraFan has completely changed the architecture of the compression system. This has opened the design space and means that new technologies that can improve performance and reduce fuel burn
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and interpretability, analogous to RAG (Retrieval-Augmented Generation) in LLMs Investigating methods for improving AI model sustainability, e.g. model compression techniques (such as quantization and
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of a delamination can seriously reduce the strength and stiffness of a laminate especially under compressive buckling loads, potentially leading to catastrophic failure. We have developed new generation