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Robotic and Cyber-Physical Materials

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Robotic or Cyber-Physical materials use embedded sensing, actuation and control to realise novel and improved performance over conventional or passive materials [1]. For example, such materials might have parameters such as mass and stiffness that are frequency dependant and tuneable and can be used for applications such as shielding (cloaking) submarines form sonar and buildings from earthquakes [2]. Other examples include intelligent self‐healing materials [3]. These materials have potential application across a range of industries, including aerospace, automotive and civil.

This project will look at several aspects of this emerging high impact area, including modelling and systems identification; embedded sensing and actuation; sensor fusion and data analysis; controller design.

Knowledge of at least one of the following fields would be beneficial, but not necessarily required for research students to work in this field.
• Physical systems (either mechanical, electrical or electromagnetic) including modelling and analysis methods
• Control theory and analysis methods
• Sensor and actuator technology


Funding Notes

Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2018. Specific information is avaialable at:
View Website

References

http://science.sciencemag.org/content/347/6228/1261689
http://iopscience.iop.org/article/10.1088/0964-1726/21/12/125021/meta;jsessionid=D8EB31C0B0CB2E3FB6C989B84261706C.ip-10-40-1-105
http://iopscience.iop.org/article/10.1088/0964-1726/25/5/055028/meta

How good is research at University of Sheffield in General Engineering?

FTE Category A staff submitted: 21.80

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

Click here to see the results for all UK universities

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