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PhD Studentship - Smart living spaces - Sensing Floors - the design and construction of the floor sensor and system for collecting signals

Department of Electrical & Electronic Engineering

Location:  Guildford
Post Type:  Full Time
Advert Placed:  Tuesday 28 March 2017
Closing Date:  Friday 05 May 2017
Reference:  026717

Deadline: 5thMay 2017

Funding: Funded PhD Project (European/UK Students Only)

 

Supervisors:

Dr R Sporea

Dr K Wells

 

Smart living spaces are becoming a reality with advances in sensing, communication and data handling. “Connected Anything Anywhere” will mean new approaches to energy efficient gathering, relaying and interpretation of data, with great benefits to quality of life, access to information, and convenience of use of technology.

 

Increasingly sensors are being built into our surrounding, adding functionality to everyday objects. We are working with a leading manufacturer of flooring to design floors which can sense people, objects and contaminants. While this can be achieved using optical methods there are many situations where the need for privacy precludes the use of such devices.

 

There are many uses for such a product, but those targeted in this project aim to improve the safety of those using the environment. Examples include detection of accidents involving vulnerable people in hospitals and care homes, through to identifying suspicious packages left in public places. The project will encompass the design and construction of the floor sensor and system for collecting signals (hardware aspect), as well as signal processing algorithms (software aspect).

 

The ideal candidate would have an interest in many areas of electronic sensor system design, with a good combination of practical and software skills, and be willing to explore new research areas. Experience in nanofabrication, flexible and printed electronics, semiconductor physics, computer modelling or programming would be advantageous.

 

The position will be held in the department of Electrical and Electronic Engineering, a leading UK department in the fields of nanotechnology and machine learning. The University of Surrey has been named University of the Year in 2016. Supervising the work, in close collaboration with the industrial sponsors will be Dr Radu Sporea, flexible electronics expert and named EPSRC Rising Star in 2014, and Dr Kevin Wells, Reader in Medical Imaging with a long track record in signal processing and machine learning.

 

All Surrey PhD researchers are supported and encouraged in the development of their technical and transferrable skills through training and mentoring programs.

 

 

For further information about this project, please E-mail Dr Radu Sporea (r.a.sporea@surrey.ac.uk)

 

 

Funding Notes

 

Applicants must have a masters degree or first class undergraduate (or equivalent) in Electrical and Electronic Engineering, Physics or Computer Science at the time of start of the PhD. The post is open for home-fee qualifying applicants.

 

Application link: http://www.surrey.ac.uk/postgraduate/electronic-engineering-phd

 

References

 

Further information about PhD places in Surrey can be found here (http://www.surrey.ac.uk/postgraduate/electronic-engineering-phd), while information about our cutting-edge research can be found here:

 

 http://www.surrey.ac.uk/ati/nec/people/radu_sporea/

 

 http://www.surrey.ac.uk/ati/

 

 http://www.surrey.ac.uk/cvssp/

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

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