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Soft touch sensors with embedded memory

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  • Full or part time
    Dr R Dahiya
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Tactile feedback in robotics, prosthetics and rehabilitation is needed to transfer the information acquired by biomimetic skin. This PhD will develop highly sensitive touch and strain sensors connected embedded in soft materials such as eco-flex along with memory devices. The transparent materials such as graphene will be used for development of sensors to evaluate how the transmission of external stimuli through the soft material affects the sensor response. This will help to establish the role of skin mechanics through artificial means. The fabrication and electro-optic characterisation of flexible electrodes and touch and strain sensors will be carried out. The job requires good skills related soft lithography, microfabrication, semiconductor devices, flexible electronics and modelling of electronic devices.

This PhD will be part of the cohort supported by EU funded Innovative Training Network - INnovative Network for Training in ToUch InteracTIVE Interfaces (INTUITIVE), which aims to bring a paradigm shift in our understanding of human tactile processing and in the exploitation of opportunities offered by artificial tactile sensing. Instead of limiting themselves to the properties that can be empirically defined at the level of single tactile sensors, the cohort will build on the novel principle that the brain/artificial haptic sensing system control the state of population-level tactile sensor activation using force modulation to obtain a super-rich source of information in haptic exploration. Based on this new conceptual framework, the first computational biomimetic skin that will be developed in INTUITIVE will consider the skin mechanics and integrate a large variety of individual sensor elements. Robotics and assistive technology applications will illustrate the new generation of tactile artificial intelligent systems enabled by these findings.

The candidate should have passed (with high grades) or likely to pass the relevant degree making them eligible to start PhD. Normally it is Master’s degree but can also be the Bachelor degree for outstanding candidates. Degree in Engineering (electronics, mechanical, biomedical or similar), Materials Science and similar is desired.

The researcher must not have carried out his/her main activity (work, studies, etc) in the United Kingdom for more than 12 months in the 3 years immediately prior to recruitment.

The researcher should not have obtained a PhD degree and should not have more than 4 year full-time or equivalent research experience since obtaining the degree which makes them eligible for starting the PhD degree.

All candidates are advised to visit the following website to obtain further details of the eligibility requirements for Marie Curie initiatives, see particularly page 8 to assess your criteria before making an application: -

Applicants will also need to submit an application to the University’s job vacancy site:

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