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  Ionogel Based Self-Powered Wearables for Energy Efficient e-health Monitoring


   Research

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  Prof Suresh Pillai, Dr Karla Munoz Esquivel  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration.

Project title, MATX-11: Ionogel Based Self-Powered Wearables for Energy Efficient e-health Monitoring

Self-powered wearables represent a groundbreaking advancement in the realm of energy-efficient e-health monitoring, seamlessly blending cutting-edge technologies to enhance user experience. These innovative devices harness a multifaceted approach, integrating data-driven methodologies and advanced sensing technologies. The data-driven aspect enables wearables to adapt to user preferences and health patterns, optimizing the monitoring process. Ionogels and their composites serve as efficient energy storage components, leveraging ionic conductivity to harvest and store energy from the wearer’s movements. This not only ensures a continuous power supply but also reduces reliance on external charging sources. The incorporation of highly sensitive sensing technologies further enhances the accuracy and depth of health monitoring, providing real-time insights into various physiological parameters. The synergy of these elements not only propels the evolution of self-powered wearables but also sets the stage for a more sustainable and effective approach to e-health monitoring.

Objectives of the research project :

• Develop a self-powered wearable device with advanced energy-harvesting capabilities, utilising ionogels for efficient energy storage and prolonged operational life.

• Implement data-driven algorithms to enhance the adaptability and personalisation of e-health monitoring, ensuring that the wearable device intelligently responds to individual health patterns and preferences.

• Integrate cutting-edge sensing technologies into the wearable platform to enable accurate and real-time monitoring of key physiological parameters.

• Optimise the user interface and experience to facilitate seamless interaction with the self-powered wearable, ensuring user-friendly operation and encouraging long-term engagement for consistent health monitoring.

Then add the details below

A minimum of 2.1 honours degree (Level 8) in a relevant discipline.

Project Duration:

48 months (PhD)

Preferred Location:

ATU Sligo, Campus

Applications:

Application Form / Terms of Conditions can be obtained on the website: https://www.atu.ie/TU-RISE

The closing date for receipt of applications is 5pm, (GMT) Monday 29th April, 2024.

Only selected applicants will be called for an online interview (shortlisting may apply).

Computer Science (8) Engineering (12)

Funding Notes

TU RISE is co-financed by the Government of Ireland and the European Union through the ERDF Southern, Eastern & Midland Regional Programme 2021- 27 and the Northern & Western Regional Programme 2021-27.
Funding for this Project includes:
• A student stipend (usually tax-exempt) valued at €22,000 per annum
• Annual waivers of postgraduate tuition fee
• Extensive research training programme
• Support for travel, consumables and dissemination expenses

References

Essential qualifications:
Chemical Engineering, Materials Engineering, Chemistry/Physical Sciences, Mechatronic Engineering, Electronic Engineering, or a related discipline. First or High Second-class degree or Masters in the relevant disciplines
Desired skills:
Computer Science, Data Science/Modelling, Artificial Intelligence, Integrated Circuit Design, Programming, Real-time monitoring, Wearables, Internet of Things (IoT).