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  Fully-funded PhD Studentship in Self monitoring, self healing sensor technology


   School of Engineering

   Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

The school of Engineering at Lancaster University is inviting applications from engineering graduates for a PhD scholarship in the field of high reliability sensing. The research will explore methods of integrating fault tolerance, prognostics and self-healing technology into smart sensors using both hardware and low power artificial intelligence algorithms. The research will run alongside an active project in collaboration with ULTRA-PCS Ltd that studies in-vivo measurement of stress factors in critical environments. There will be an opportunity with Ultra-PCS for an industrial placement. Applications of self-monitoring sensing technology includes the detection of biomarkers for debilitating disease, personal health monitoring where false positives and negatives can have a serious impact, aerospace applications, transport, environmental monitoring, energy, nuclear and defence. The work will build on published research that has developed solutions for physical sensors including humidity, pressure, and corrosion. The work will be supervised by Prof. Andrew Richardson and Dr David Cheneler who have recently been recognised for impact of their research through a 4* evaluation of a related case study through the 2021 research evaluation framework.

Potential applicants should email  in the first instance with an expression of interest. Applications from industrial engineers wishing to study on a part time basis are also encouraged.

Computer Science (8) Engineering (12)

Funding Notes

This project is funded by Lancaster University. The funding covers UK fees plus the standard maintenance stipend at UKRI rates (the stipend rate for 23/24 is not yet available but as an example for the current academic year this is £17,668 p.a. tax free). The successful candidate, who will start no later than October 2023, will have the opportunity to join an exciting project of one of the UK's most research-intensive universities.

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

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