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Position: Research Fellow: Synchrotron imaging of smart manufacturing processes
Institution: University College London
Department: Department of Mechanical Engineering - Department of Mechanical Engineering
Location: London, United Kingdom
Duties: Your role will be to develop novel simulators to understand key insights during materials manufacturing processes, e.g. additive manufacturing (3D printing), twin roll casting, carbon composite layering. You will perform calibration of in production process metrology using ultra-fast synchrotron X-ray and other correlative imaging, using the results to produce machine learning (ML) control algorithms and inform and validate digital twins for whole life cycle modelling. The project is part of the Made Smarter Innovation Centre (MSIC) supported by Engineering and Physical Sciences Research Council (EPSRC). You will work closely with collaborators from the MSIC and other academic and industrial collaborators, including the UK’s Hub for Manufacturing using Advanced Powder Processes (www.mapp.ac.uk) and Rolls-Royce plc. The goal is to develop physical twins that inform digital twins, enabling novel materials, real-time process monitoring, and more environmentally friendly processes
Requirements: The post holder will have a PhD qualification awarded for research and extensive knowledge and expertise in materials, engineering or science, ideally with experience in synchrotron x-ray imaging and/or diffraction of materials manufacturing processes. Experience with through process modelling, machine-learning, and correlative imaging is desirable. Your expertise should be at a level appropriate for the conduct of research and publishing new knowledge in leading international research journals; The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. Ideally, you would also have a proven track record in synchrotron imaging of materials manufacturing in real or reciprocal space, modelling and image processing
   
Text: Research Fellow: Synchrotron imaging of smart manufacturing processes, - Ref:1878627 Click here to go back to search results Apply Now UCL Department / Division Department of Mechanical Engineering Specific unit / Sub department Department of Mechanical Engineering Location of position UK non-UCL site Location of the work (non-UCL site) The Research Complex at Harwell, Harwell, Oxfordshire Grade 7 Hours Full Time Salary £36,770 - £44,388 per annum Duties and Responsibilities UCL Mechanical Engineering is seeking to appoint a Research Fellow to be based at Harwell Campus. Your role will be to develop novel simulators to understand key insights during materials manufacturing processes, e.g. additive manufacturing (3D printing), twin roll casting, carbon composite layering. You will perform calibration of in production process metrology using ultra-fast synchrotron X-ray and other correlative imaging, using the results to produce machine learning (ML) control algorithms and inform and validate digital twins for whole life cycle modelling. The project is part of the Made Smarter Innovation Centre (MSIC) supported by Engineering and Physical Sciences Research Council (EPSRC). You will work closely with collaborators from the MSIC and other academic and industrial collaborators, including the UKs Hub for Manufacturing using Advanced Powder Processes (www.mapp.ac.uk) and Rolls-Royce plc. The goal is to develop physical twins that inform digital twins, enabling novel materials, real-time process monitoring, and more environmentally friendly processes. The position is available from 1st Oct. 2021 and funded for three years with a possible extension. Key Requirements The post holder will have a PhD qualification awarded for research and extensive knowledge and expertise in materials, engineering or science, ideally with experience in synchrotron x-ray imaging and/or diffraction of materials manufacturing processes. Experience with through process modelling, machine-learning, and correlative imaging is desirable. Your expertise should be at a level appropriate for the conduct of research and publishing new knowledge in leading international research journals. The post-holder will need to show a high level of initiative and an ability to work collaboratively and independently. Applicants should have good team-working skills and a strong command of English. Ideally, you would also have a proven track record in synchrotron imaging of materials manufacturing in real or reciprocal space, modelling and image processing. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. Informal enquiries may be addressed to Prof Peter Lee via peter.lee@ucl.ac.uk. Applications sent to this email address will not be accepted - applications are to be submitted via the UCL portal. HR enquiries about the role may be sent to mecheng.hr@ucl.ac.uk. UCL Taking Action for Equality Closing Date 3 Oct 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Specification Apply Now
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