22 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at Cranfield University
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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. This project aims to develop a novel FEA-based approach that incorporates realistic energy input linked to arc physics and equivalently accounts for the effects of liquid metal convection on
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-sensor data. You will also support the optimisation of full-stack automated driving pipelines and contribute to the design and evaluation of novel perception algorithms for automated driving. You could
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solution to our commercial clients and a well-rounded, industry-linked education to our students. Find out more about the Advanced Vehicle Engineering Centre here . Our Values and Commitments Our shared
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interpretation. By integrating multi-view acquisition, automated registration, and data-driven surface analysis, the research aims to separate localised deposition error from thermal distortion and enable
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, ecology or related disciplines. Experience of, or a strong interest in, fieldwork, laboratory analysis and quantitative data analysis (e.g., R) would be beneficial, though full training will be
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significantly to the current body of knowledge. This experience will equip you with valuable research skills, including methodologies, data analysis, and critical thinking, highly sought after in both academic
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mechanism to provide both the dynamic and thermal loading on a mechanical structure simultaneously. Instrumentation involving accelerometers, acoustic sensors and data acquisition will allow the
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, data-driven models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the
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fitting coefficients. This strategy carries large uncertainty and requires vast amount of expensive and time-consuming experimental data. Worse, sometimes the experimental data is simply inaccessible