34 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM"-"L2CM" positions at Cranfield University in United Kingdom
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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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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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for more information. •30 September 2024 •27 January 2025 •2 June 2025 •29 September 2025 We highly recommend you prepare the following information, as this will be requested at the application stage. Your
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other relevant information related to daily menus Follow all Food Handling and Hygiene Guideline Regulations at all times Carry out any other reasonable task as requested by a member of the management
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, education and administration. The University’s business relies critically on information systems and services (IT infrastructure, information systems, security, and service/support). Our Values and
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will have sound knowledge of data protection regulations and be experienced in co-ordinating events and activities. Experience of working within an Apprenticeship or Higher Education environment and
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approach (we’ll provide training for you), and designing the new apprenticeship. You will have knowledge of a subject matter related to AI, Machine Learning and/or Data Science, most likely in two or more of
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate prognostic models for filter