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PhD Studentship in Nonlinear Dynamics and Control

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Applications are invited for a research studentship in the field of nonlinear structural dynamics and control, leading to the award of a PhD degree.

The constant drive to improve aircraft performance is leading to lighter and more flexible structures where nonlinearity is increasingly present. Nonlinearity can arise from many different sources such as large amplitude vibrations, buckling, fluid-structure interactions, or more simply friction and free-play between components. The presence of nonlinearity poses important challenges to engineers because nonlinear systems can exhibit a wide range of complicated dynamic behaviours that are very difficult to predict and potentially disastrous.

The Dynamics Group develops new tools and methods to advance our understanding of nonlinearity and our ability to predict and address its effects on the dynamics of structures. This involves the development and exploitation of advanced computational, experimental and control techniques. Depending on your interest, this project can focus on different topics in these broad areas. For instance, the project could contribute to one (or combine some) of the following subjects:
• the development of nonlinear model reduction techniques enabling the fast and accurate dynamic analysis of structures with distributed (geometric) nonlinearities.
• the development of effective bifurcation analysis algorithms for large-scale systems. Developed algorithms will eventually be exploited to establish new bifurcation-based optimization and design methodologies for nonlinear structures.
• the development of adaptive control techniques to overcome instabilities and bifurcations generated by nonlinearity.
• the development of uncertainty quantification methods in model parameter estimation and in experimental (or even numerical) bifurcation analysis.
• the development of new experimental testing approaches combining feedback control with machine learning techniques.
• the development of advanced experimental techniques combining feedback control and uncertainty quantification techniques with hardware-in-the-loop (hybrid) tests.

You will be part of the Rolls-Royce Vibration University Technology Centre and carry out your work in collaboration with other departments in the college as well as other UK and international universities.

You will be an enthusiastic and self-motivated person who meets the academic requirements for enrolment for the PhD degree at Imperial College London. You will have a 1st class honours degree in mechanical engineering or a related subject, and an enquiring and rigorous approach to research together with a strong intellect and disciplined work habits. Good team-working, observational and communication skills are essential.

To find out more about research at Imperial College London in this area, go to:

For information on how to apply, go to:

For further details of the post contact Dr Ludovic Renson . Interested applicants should send an up-to-date curriculum vitae to Dr Renson. Suitable candidates will be required to complete an electronic application form at Imperial College London in order for their qualifications to be addressed by College Registry.

Closing date: until post filled

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Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people

Funding Notes

The post is supported by a bursary and fees (at the UK/EU student rate) provided by the EPSRC. EPSRC candidates should fulfil the eligibility criteria for the award. Please check your suitability at the following web site:
View Website

Related Subjects

How good is research at Imperial College London in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?

FTE Category A staff submitted: 172.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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