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Position: PhD in Computer Vision for Aerospace Manufacture and Test
Institution: University College London
Department: Civil, Environmental & Geomatic Engineering
Location: London, United Kingdom
Duties: The successful applicant will be part of the 3D Impact Group, Department of Civil, Environmental and Geomatic Engineering, based at UCL’s interdisciplinary HereEast facility on London’s Olympic Park. Working under joint supervision with Airbus R&T at Broughton, PhD outcomes will provide the successful candidate with highly valuable industry research focused transferable skills and provide Airbus with the opportunity to move validated industrial-scale demonstrators into production systems
Requirements: Applicants should be outstanding academically, ideally have 1st class (or a very good 2’1) undergraduate degree or equivalent in computing, robotics, physics, geomatics or engineering, with a clear aptitude and enthusiasm for experimental research. The research will comprise experimental work on demonstrators and full-scale aircraft structures, deploying state of the art imaging systems together with theoretical modelling and algorithm development. The ideal candidate would have the following skills and knowledge: An understanding of 3D imaging using passive and active sensors; Experience of computer programming (e.g. C, C++, MATLAB, Python, OpenSource APIs); Curiosity and excitement for interdisciplinary research
   
Text: PhD in Computer Vision for Aerospace Manufacture and Test, - Ref:1884040 Click here to go back to search results UCL Department / Division Civil, Environmental & Geomatic Engineering Location of position London Duration of Studentship Four years Stipend £17,609 per annum Vacancy Information In recent years the aerospace industry has undergone massive change. Novel materials, new manufacturing processes and new design have lead to the need to achieve accurate, precise and reliable dimensional measurements on a scale and an accuracy that has never been needed before. For example, large components, such as airliner wings, must be manufactured to exacting, sub-millimetre tolerances and rigorously assessed, using both digital and physical testing, to ensure they meet stringent safety and environmental performance requirements. Failure to meet this requirements can lead to enormous costs, waste and environmental impact. This PhD project is part of an initiative under the Royal Academy of Engineering / Airbus Chair in Large Volume Metrology and will cover the following themes: Automated 3D feature and part recognition, necessary for the measurement of aircraft components and test specimens. Autonomous imaging using networks of low-cost cameras, combined with industrial robots and drone technologies, to create an accurate, flexible and reconfigurable measurement system. Studentship Description The successful applicant will be part of the 3D Impact Group, Department of Civil, Environmental and Geomatic Engineering, based at UCLs interdisciplinary HereEast facility on Londons Olympic Park. Working under joint supervision with Airbus R&T at Broughton, PhD outcomes will provide the successful candidate with highly valuable industry research focused transferable skills and provide Airbus with the opportunity to move validated industrial-scale demonstrators into production systems. Person Specification Person Specification - Applicants should be outstanding academically, ideally have 1st class (or a very good 21) undergraduate degree or equivalent in computing, robotics, physics, geomatics or engineering, with a clear aptitude and enthusiasm for experimental research. The research will comprise experimental work on demonstrators and full-scale aircraft structures, deploying state of the art imaging systems together with theoretical modelling and algorithm development. The ideal candidate would have the following skills and knowledge: An understanding of 3D imaging using passive and active sensors Experience of computer programming (e.g. C, C++, MATLAB, Python, OpenSource APIs) Curiosity and excitement for interdisciplinary research. Experience of experimental work is a significant advantage, with a preference for (but not limited to) digital imaging; computer vision; photogrammetry; metrology; aerospace engineering, AI and robotics. Eligibility Overseas students may apply however funds are only available to cover UK-equivalent fees. Applicants should send a covering letter and CV to s.robson@ucl.ac.uk. The successful applicant will then have to apply online to UCL by submitting the PhD application form which they can do by clicking here Please name Professor Stuart Robson as the proposed supervisor. Contact name Professor Stuart Robson Contact details s.robson@ucl.ac.uk UCL Taking Action for Equality Closing Date 30 Jun 2022 Latest time for the submission of applications 23:59 Interview date TBC Studentship Start Date On or before September 2022
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