Research Associate in Ultrasonic Imaging
The rise of high-speed computer simulations has provided new opportunities for detecting and quantifying damage within safety-critical components such as jet engines, oil pipes or aeroplane wings. While simulation tools have traditionally been used to produce ultrasonic data for a given geometry and defect, this project on ultrasonic imaging/inversion is about the opposite – given a measured data set, find out by modelling what defect (if...
Job listing information
- Reference ENG00891
- Date posted 25 July 2019
- Closing date 25 August 2019
The rise of high-speed computer simulations has provided new opportunities for detecting and quantifying damage within safety-critical components such as jet engines, oil pipes or aeroplane wings. While simulation tools have traditionally been used to produce ultrasonic data for a given geometry and defect, this project on ultrasonic imaging/inversion is about the opposite – given a measured data set, find out by modelling what defect (if there is one!) could have caused this. This has the potential for huge impact within non-destructive evaluation (NDE) by significantly improving the detection and characterisation of defects, as well as having potential impact in areas such as medicine and geophysics.
The NDE group developed the high-speed finite element package Pogo (www.pogo.software) which is becoming increasingly widely used in academia and industry, and this position will make extensive use of this expertise.
The successful applicant will be joining a world-renowned research group, within one of the world's foremost research universities. The NDE group has an excellent record in fundamental and applied research, from the theoretical foundations through to technology transfer to industry. The postholder will have contact with industrial partners and public grant bodies, and is funded in collaboration with the Department of Mathematics.
Duties and responsibilities
You will be developing algorithms to invert ultrasonic data. In this you will need to:
- Develop a thorough understanding of the literature
- Formulate the theory behind suitable inversion techniques for the finite element method with ultrasound
- Implement the theory using suitable computational tools
- Test the algorithms with perfect data initially, then using different models
- Ultimately acquire experimental data, collaborating with our network of industrial partners to obtain real test specimens, and using this to test
- Actively problem-solve, developing solutions to fix any issues which may arise.
To be considered for this position, you will need:
- A PhD (or equivalent, or near completion of PhD) in an area pertinent to the research subject e.g. NDE, ultrasonic medical imaging or geophysics and a first degree (or equivalent) in engineering, physics, maths, computing or a suitable related area.
- Some background in numerical modelling of waves
- Knowledge of inversion techniques and imaging (particularly tomography).
- An understanding of the finite element discretisation approach would be considered an advantage.
This is a fixed term position for up to 19 months in the first instance.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £34,397 - £37,486 per annum.
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