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to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
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, additive manufacturing and process or material science. About the Role This is an exciting opportunity for you to contribute to a new industry project funded by Airbus on the optimisation of next-generation
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applications: 19 June 2024 Deadline to fill the Equality, Diversity & Inclusion complementary survey: 26 June 2024 (This is mandatory but does not form part of the selection process and the surveys will not be
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complementary survey: 26 June 2024 (This is mandatory but does not form part of the selection process and the surveys will not be shared with the recruiting manager or shortlisting panel) Interviews to be held
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of the selection process and the surveys will not be shared with the recruiting manager or shortlisting panel) Interviews to be held: 8th July 2024 - mycomaterials 10th July 2024 - fungal-based
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of the selection process and the surveys will not be shared with the recruiting manager or shortlisting panel) Interviews to be held: 8th July 2024 - mycomaterials 10th July 2024 - fungal-based
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complementary survey: 26 June 2024 (This is mandatory but does not form part of the selection process and the surveys will not be shared with the recruiting manager or shortlisting panel) Interviews to be held: 8
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. Applicant will work in the Centre for Autonomous and Cyber-physical Systems at Cranfield. This exciting new role is co-developed with the Defence Science and Technology Laboratory (DSTL) and dedicated
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are the powerhouses of our world class research, driving technological and conceptual advances in aeronautics, propulsion & thermal power engineering, cyber-physical systems, robotics and intelligent automation. Our
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an Aerospace Engineering or Computer Science and knowledgeable in hardware and software for multi-sensor systems within mobile platforms or cyber-physical systems and have experience of management research using