- Research Fellow: Synchrotron imaging of smart manufacturing process
Research Fellow: Synchrotron imaging of smart manufacturing process
Closing date: 3rd October 2021
Salary: £36,770 to £44,388 per annum, exclusive of London Allowance
Full time and fixed term contract
This post 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. This post 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).
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. The position is available from 1st Oct. 2021 and funded for three years with a possible extension.
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.
Applicants should apply online. Informal enquiries may be addressed to Prof Peter Lee via firstname.lastname@example.org. Applications sent to this email address will not be accepted – applications are to be submitted via the UCL portal
Further details are available here: Research Fellow: Synchrotron imaging of smart manufacturing process at UCL (jobs.ac.uk)