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EPSRC DTP Studentship - Smart Sensor Technology


Smart sensors have been developed using different materials and in different form factors. Sensors embedded on e-fibres and e-textiles represent the next challenge to integrate smart functionalities on fabric and clothing in order to embed intelligent functions and personalised monitoring capabilities to the next wave of smart buildings and wearables. Current limitations include, for instance, integration of smart coatings of nanostructured materials, along with electronic and energy components in a fabric form factor and resilience of the smart fabric devices to washing cycles [1].

As PhD candidate you will have the unique opportunity to develop new device concepts, such as e.g. textile-based gas sensors and test their integration effectiveness in smart clothing and e-textiles.

The project will involve design, experimental lab activities, AI-based data processing/machine learning and field trials to validate the new concepts. The lab will involve scalable manufacturing of textile-based sensors for air quality and personalised exposure monitoring, while field trials will involve the data collection, analysis and interpretation of data in real time and with a high degree of self-adaptability.

Aim Develop and characterise novel textile-based smart sensor technology.

Objectives and specific goals 1. Characterise the current sensor platform in everyday environments 2. Analyse and interpret data collected from this study 3. Develop and fabricate novel sensor for monitoring another analyte

Applicants must have, or be expected to gain a high 2:1, preferably a 1st class honours degree in STEM subject. A good knowledge or experience of Programming or material science is also required.

EPSRC DTP studentships are fully-funded (fees and maintenance) for UK students or provide fees only for EU students from outside the UK, subject to eligibility requirements. Further details about eligibility can be found at: https://epsrc.ukri.org/skills/students/help/eligibility/

To apply for this studentship, please send your two-page CV and academic transcripts to Lgo23@cam.ac.uk to arrive no later than 15 March 2020.

Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Graduate Admissions application portal; this can be done before or after applying for this funding opportunity. Note that there is a £65 fee for PhD applications. The applicant portal can be accessed via: www.graduate.study.cam.ac.uk/courses/directory/egegpdpeg. The final deadline for PhD applications is 30 June 2020, although it is advisable to apply earlier than this.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

References [1] Y. J. Yun, W. G. Hong, N. Choi, B. H. Kim, Y. Jun, and H. Lee, "Ultrasensitive and Highly Selective Graphene-Based Single Yarn for Use in Wearable Gas Sensor," Nat. Publ. Gr., pp. 1¿7, 2015.