MASTERS STUDENTSHIP IN RENEWABLE GAS

Project Title: Development of policies for widespread use of CNG and biomethane feed-in

Project Description: This work is part of the EU-funded Causeway project to construct a compressed natural gas (CNG)-fuelled transportation corridor along Ireland’s motorway network, and to enable use of biomethane for transportation. It will develop policy recommendations to enable and encourage high penetrations of CNG-fuelled transportation, and distributed biomethane feed-in to the gas grid. The objectives are to: (1) review work previously completed in these fields by GNI and other gas grid operators, (2) review ongoing and future works in these fields by GNI and other gas grid operators, and (3) provide an overview of how alternatives from other markets can be deployed by GNI in Ireland. The researcher will spend an average of 2 days per week at the GNI Gas Works Road site in Cork.

Principal Investigator: PI: Prof Jerry Murphy (UCC), Co-PI: Dr Rory Monaghan (NUI Galway)

Project Manager (Industry Party): Rodger O’Connor, Gas Networks Ireland

Milestones and Deliverables Definitions:

• D1: CNG connections policy
• D2: Biomethane connections policy
• D3: CNG supply licence
• D4: CNG siteworks charges
• D5: Biomethane tariff
• D6: Journal paper publication
• D7: Conference paper presentation
• D8: Quarterly progress reports for GNI
• D9: Final report for GNI
• D11: Masters thesis

For full particulars on this studentship please refer to: https://www.ucc.ie/en/hr/vacancies/research/full-details-859922-en.html

Applications are invited for a fully funded 18-months MEng (master’s by research) position at the Internet of Things lab at University College Dublin, Ireland. Scholarships cover tuition fees (of €13660/year) and a tax-free stipend of €18,000 per year.

Wearable health monitoring sensors are expected to be deployed ubiquitously in the near future to combat rising healthcare risks and costs. This project aims to develop modular low power IoT wearable sensors for healthcare monitoring. In the sensor, physiological data is acquired by a biomedical acquisition frontend and transmitted in real-time using a Bluetooth LE chip. An integrated ARM MCU will be used for data processing. The selected candidate will work on developing embedded hardware and software for state of the art IoT wearable sensors. The candidate will research on optimal IoT sensor and software architectures, form factors, embedded signal processing techniques for power reduction etc.

The project will involve collaboration with multi-disciplinary researchers who are working on IoT Machine learning, Biomedical signal analysis, clinicians etc. The position also provides the opportunity to gain valuable experience in design and development of healthcare systems. The successful candidate will get opportunities for presenting their work in international conferences and workshops, and publication of the research in high impact journals.

The project will be supervised by Dr. John, Dr. Barry. Applications consisting of a cover letter, Transcripts, contact details of 3 referees, and curriculum vitae should be sent to [email protected]  

Applications are invited for a fully funded 18-months MEng (master’s by research) position at the Internet of Things lab at University College Dublin, Ireland. Scholarships cover tuition fees (of €13660/year) and a tax-free stipend of €18,000 per year.

Wearable health monitoring sensors are expected to be deployed ubiquitously in the near future to combat rising healthcare risks and costs. This project aims to develop modular low power IoT wearable sensors for healthcare monitoring. In the sensor, physiological data is acquired by a biomedical acquisition frontend and transmitted in real-time using a Bluetooth LE chip. An integrated ARM MCU will be used for data processing. The selected candidate will work on developing embedded hardware and software for state of the art IoT wearable sensors. The candidate will research on optimal IoT sensor and software architectures, form factors, embedded signal processing techniques for power reduction etc.

The project will involve collaboration with multi-disciplinary researchers who are working on IoT Machine learning, Biomedical signal analysis, clinicians etc. The position also provides the opportunity to gain valuable experience in design and development of healthcare systems. The successful candidate will get opportunities for presenting their work in international conferences and workshops, and publication of the research in high impact journals.

The project will be supervised by Dr. John, Dr. Barry. Applications consisting of a cover letter, Transcripts, contact details of 3 referees, and curriculum vitae should be sent to [email protected]