Research Fellow - Artificial Intelligence Applied to Non-Destructive Evaluation and Condition and Structural Health Monitoring - BID0002-1

Brunel University London - Institute of Materials & Manufacturing - Structural Integrity

Fixed term – 2 years

The Brunel Innovation Centre (BIC) is a university research centre located at TWI’s facilities in Cambridge. BIC has been created to carry out research and development in the field of Non-Destructive Testing (NDT) and associated technologies such as sensors and systems for Structural Health Monitoring (SHM) and Condition Monitoring (CM). For more info on BIC, visit

BIC has recently been awarded funding by the European Commission to work with companies across Europe in the energy, aerospace, and construction and engineering sectors to name a few, and is seeking to recruit a Research Fellow with expertise in Artificial Intelligence.

The candidate should be able to apply Artificial Intelligence algorithms in the fields of NDT, SHM, and CM with the aim of detecting and classifying defects and inferring degradation of an asset health and performance. The post will involve work in the following fields:

  • Applying Artificial Intelligence and Machine Learning to create highly innovative products capable of carrying out complex tasks.
  • Designing, implementing, testing and maintaining automated data analysis and classification systems.
  • Providing core software engineering practices (writing clear, well documented and testable codes).
  • Developing, debugging and validating codes and software using C/C++, MATLAB, OpenCV, Python and R code and having good knowledge of Linux OS environment
  • Established experience of CUDA and GPU parallel programming is not essential but would be advantageous.

The successful candidate will have:

  • A relevant degree or equivalent.
  • A postgraduate (MSc/PhD/Post-doc) qualification in a numeric discipline such as Statistics, Machine Learning, Computer Science, Signal Processing or related disciplines.
  • Evidence of sufficient knowledge in the above-mentioned disciplines and of research methods.
  • Proven background in applying AI algorithms in an industrial context (process optimisation, sensor data monitoring, NDT, etc.).
  • Good mathematical, algorithmic and software development skills.
  • Strong proficiency in programming.
  • Good communication and presentation skills and the ability to draft research papers for publication in academic journals and/or combination of industrial experience and/or training.
  • A high level of initiative and an ability to work both collaboratively and independently. Team-player and willingness to work on different projects.
  • Experience in mentoring students.
  • Results-oriented approach, be self-driven with a positive outlook and a clear focus on high quality work.
  • Ability to forward plan and critically assesses own performance.
  • Excellent analytical capability.


TWI is one of the world's foremost independent research and technology organisations. TWI has a long history of invention and innovation and work across industry sectors including Oil and Gas, Power Generation, Aerospace, Marine and Construction Engineering. TWI are experts in all aspects of materials joining and related technologies, including NDT and guided wave technologies.

For an informal discussion about the vacancy, please contact either Professor Tat-Hean Gan, Director ( or Mr Jamil Kanfoud, Technical Manager (

Closing date for applications: 21 December 2017.


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