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PhD Studentship - Vibration Absorber Design using Experimental Testing within a Digital Twin

University of Bristol - Mechanical Engineering

Qualification Type: PhD
Location: Bristol
Funding for: UK Students, EU Students
Funding amount: £15,009 per annum
Hours: Full Time
Placed On: 13th June 2019
Closes: 15th September 2019

The Project:

Unwanted vibrations in engineering systems can drastically decrease their working lives, lower their efficiency, and result in spiralling maintenance costs. This project aims to address vibration suppression problems by systematically designing vibration absorbers using “digital twins” technology and specifically advanced experimental methods. A digital twin is not only a numerical model, but a virtualised proxy version of the physical system built from a fusion of data with models of differing fidelity, using novel techniques in uncertainty analysis, model reduction, and experimental validation.

Throughout the project, the student will build solid skills in the field of dynamics and control theory, mechanical modelling and simulation. This project forms part of a wider body of work under the Digitwin project (, an EPSRC Programme Grant that spans 6 UK institutions (University of Sheffield, Bristol, Cambridge, Liverpool, Southampton & Swansea). The student will also have the opportunity to give presentations at regular Digitwin project meetings, communicate with our industry partners across a wide range of sectors, as well as publish journal papers and attend international conferences.

URL for further information

How to apply:

To apply, please submit a PhD application using our online application system ( Select PhD Mechanical Engineering on the Programme Choice page. Enter details of the studentship in the Funding and Research Details sections of the form with the name of the supervisor.

Person specification: 

We are looking for a committed and highly motivated student holding (or close to completing) a minimum of a master’s degree (or international equivalent) in a relevant discipline.

If English is not your first language, please provide a recognised English language qualification at Profile E. Further information:

The successful applicant will have good communication skills and will be competent in the following:

  • Analytical and numerical methods;
  • Dynamic analysis for mechanical systems;
  • Matlab modelling.


  • Full UK/EU (EU applicants who have been resident in the UK for 3 years prior to 1st September 2019) PhD tuition fees
  • EU nationals resident in the EU may also apply but will only qualify for PhD tuition fees.


For informal enquiries, please email Dr Jason Zheng Jiang, or Prof Simon Neild,  

For general enquiries, please email

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