About the Project
You will use the unique AM process replicators to observe powder, molten pool, and defect dynamics during an AM build using X-ray and neutron real and reciprocal space imaging techniques; (e.g. see Nature Communications, https://rdcu.be/K6Cz). The successful candidate will help apply and further develop a new generation AM process replicator that enables users to image microstructural feature formation during realistic build conditions, including multi-hatch and multi-layer builds, using a combination of optical, thermal, and high-speed X-ray imaging. The results will be used conjunction with traditional X-ray computed tomography and other microscopy techniques. You will also have the opportunity to work collaboratively with the modelling teams at Rolls-Royce and other Universities, providing novel insights in the AM process to inform and validate advanced process simulation models.
Applicants should ideally have a first class undergraduate degree (or equivalent) in Mechanical or Electrical Engineering, Materials, Physics, Mathematics or a related discipline. You should have a strong interest in additive manufacturing, including materials, mechanical properties and process control. Excellent organizational, interpersonal and communication skills, along with a stated interest in interdisciplinary research, are essential.
Ideally you would have experience in a number of the below, learning the others as part of the PhD:
• additive manufacturing
• Image analysis
• programming (for image analysis, open and closed loop control)
• modelling of heat, mass and momentum transfer
• experimental design
• synchrotron or neutron experiments
Closing Date and Start Date
We will be continuously having informal discussion with interested candidates until this position is filled.
Eligible applicants should first contact Prof Peter Lee, ([Email Address Removed]) quoting the Job reference. Please enclose a cover letter (including the names and contact details of two referees), one-page research statement and two pages CV.
The supervisory team will arrange interviews for short-listed candidates. After interview, the successful candidate will be given instructions to formally apply online via the UCL website. For further information, see http://www.ucl.ac.uk/prospectivestudents/graduate/research/application.
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