Research Fellow in Data Analytics for Industry 4.0 - BID0004-1

Brunel University London - Institute of Materials & Manufacturing - Brunel Innovation Centre - BIC, Cambridge

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, construction, and engineering sectors to name a few, and is seeking to recruit a Research Fellow.

The objective of the post is to conduct research in data analytics for Industry 4.0 more specifically for NDT, SHM, and CM. The post will involve developing data analytics for Industrial Internet of Things (IIoT) data. This includes cleansing, filtering, transforming, and modelling the data. The work will involve:

  • Development of data communication protocols and codes with IIoT sensors.
  • Building high-performance, massively-scalable, always-available Local server and Cloud-based systems.
  • SQL database coding.
  • Development of data access technologies and NoSQL database schema design.
  • Inventing new ways of seeing data and developing algorithms to make the visually unintelligible intelligible.
  • Developing the front-end using tools such as HTML, PHP, JavaScript, CSS, and jQuery.
  • Developing data analytics mathematical and statistical models using Matlab, R, Python, and C++.
  • Providing core software engineering practices (writing clear, well documented, and testable codes).
  • Writing peer review journal papers.

The position is challenging and requires a versatile profile with combined skills in mathematics, statistics, analytical skills, and computer science. The successful candidate will have:

  • A postgraduate (MSc/PhD/Post-doc) qualification in a numeric discipline such as Statistics, Mathematics, Computer Science, or related disciplines/equivalent research, industrial, or commercial experience.
  • Evidence of sufficient knowledge in the above-mentioned discipline and of research methods.
  • Excellent mathematical and statistical skills.
  • Excellent algorithmic skills and strong proficiency in programming (front-end, back-end and database).
    • Experience developing data-centric software using Matlab, R code, Python, or C++.
    • Extensive knowledge of SQL.
    • Experience with NoSQL databases experience i.e. Cassandra.
    • Experience with front end programming using HTML, PHP, JavaScript, CSS, or jQuery.
  • Evidence of the ability to acquire and interpret research data and results.
  • 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 willing to work on different projects.
  • Self-driven, results-oriented, with a positive outlook and a clear focus on high quality work.
  • A natural forward planner who critically assesses own performance.
  • Excellent analytical capability.

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.

For further details and to apply please visit


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