47 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Cranfield University
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into the learning mechanism. The integrating should enable to guarantee certain properties of the learned functions, while keep leveraging the strength of the data-driven modelling. Most of, if not all
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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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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, stated values help to
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internal data but often disrupt the process, alter the thermal fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed
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managing environmental change through the integration of environmental science, remote sensing, artificial intelligence, systems modelling and data science. Through initiatives such as the Landscape
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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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and global fresh-produce company Blue Skies, giving you the opportunity to work at the interface of plant biology, engineering, data science and industry in a project supported by the EPSRC Doctoral
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain