Postdoctoral Research Assistant in Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing

2 days ago


Oxford, Oxfordshire, United Kingdom University of Oxford Full time
Job Opportunity

We are seeking an outstanding candidate to join our team in the Process Dynamics group, where they will work on understanding how impurities and/or additions to liquid metal alloys can be used to control the final microstructure and defects.

The successful candidate will work on the design and undertaking of real-time in-situ X-ray imaging solidification experiments to investigate the dynamics of crystal formation both using laboratory and synchrotron sources.

Key responsibilities will include analyzing existing X-ray imaging data of the solidification of aluminium alloys, developing novel multi-modal imaging methodologies for the investigation of aluminium and steel solidification, and post-solidification measurement of key microstructural features using various microscopy and other techniques.

The post holder will closely collaborate with other scientists and technicians from the group and other project partners.

The appointed person will be an experimental materials scientist or process engineer with experience in X-ray imaging of solidification or related analytical approach and a doctorate (or be near completion) in materials science or a relevant engineering or physical sciences discipline.

Hands-on experience in developing and building bespoke experimental rigs and carrying out experiments in a synchrotron environment is preferred.

The appointed person will require programming skills and experience in computer vision techniques, preferably in Python, for the development of semi and fully automatic data analysis algorithms.

The position is funded by UKRI and is fixed-term for up to 2 years.

The project involves the Detector Development Group at the Science and Technology Facilities Council (STFC) and Loughborough University together with a group of industry partners.

How to Apply

All applications must be made online using the Oxford University E-Recruitment system.



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