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Research Fellow: Correlative Imaging and Control of Additive Manufacturing

University College London - Department of Mechanical Engineering

Location: Harwell
Salary: £32,236 to £39,609 Per annum, exclusive of London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 28th May 2019
Closes: 24th June 2019
Job Ref: 1807944
 

UK non-UCL site

Harwell, Oxfordshire

The appointment will be on UCL Grade 7.

UCL Mechanical Engineering is seeking to appoint a Research Fellow to be based at Harwell Campus.

Your role will be to develop correlative imaging techniques and control algorithms for additive manufacturing (AM). Using ultra-fast synchrotron X-ray imaging and correlative optical, infrared and digital image correlation (DIC) techniques, you will develop Data Fusion techniques and Machine Learning algorithms for the control and optimisation of AM processes at the microstructural level. You will also work closely with academic and industrial collaborators from the UK’s Hub for Manufacturing using Advanced Powder Processes (www.mapp.ac.uk) and DIC experts in the USA. The goal will be to develop novel techniques and control algorithms that achieve highly repeatable properties in metal AM components.

The position is available from 1st July 2019 and funded for three years in the first instance.

The post holder will have a PhD qualification awarded for research and extensive knowledge and expertise in computational methods applied to correlative imaging and process control. Ideally you would also have experience in additive manufacturing and synchrotron x-ray imaging and image analysis.

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 have a proven track record in control theory, Machine Learning, correlative imaging, DIC and image processing.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.

If you have any queries regarding the application process, please contact Mr Jamie Chapman-Maher, email j.maher@ucl.ac.uk.

For informal enquiries about the post please contact Professor Peter Lee, email peter.lee@ucl.ac.uk.

Latest time for the submission of applications: 23:59.

Interview Date: TBC

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