Research Associate in Ultrasonic Imaging at Imperial College, London

Posted on Aug 1, 2019 in Job Opportunities in Acoustics

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 ( 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.

Essential requirements

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.

Further information

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.

Queries relating to the position should be directed to Dr Peter Huthwaite at

Our preferred method of application is via our website. Please click “APPLY NOW” to go through to the online application form. Should you have any queries regarding the application process please contact Miss Helen Stoneham at

For technical issues when applying online please email Please ensure that you include the job reference number in any correspondence.


Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

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The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.


Apply here.

Closing date for applications: 25 August 2019