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  The integration of Earth Observation, Citizen Science, Low-Cost Sensing Technologies and Machine Learning for Real-Time Coastal Dynamic Monitoring


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  Dr Salem Gharbia, Dr Shagufta Henna, Dr Noelle Jones, Dr F Pilla  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This PhD project is part of the Postgraduate Research Training Programme COASTAL CONNECTIVITY, which offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration and a bespoke training package in coastal management and research skills.

This ground breaking PhD research project focuses on advancing real-time coastal monitoring through the integration of Earth Observation, citizen science, low-cost sensing technologies, and machine learning. By synergising satellite observations and on-site low-cost sensors, the study aims to capture dynamic coastal changes in unprecedented detail for unmonitored coastal lines. Citizen science initiatives will actively involve communities, fostering a participatory role in data collection. The collected data will then undergo sophisticated analysis using state-of-the-art machine learning algorithms. This integrated approach not only ensures a comprehensive understanding of coastal dynamics but also empowers local communities to contribute actively to coastal management strategies. The project will present an innovative combination of technologies and community engagement, which will provide a new approach in coastal monitoring, where real-time data and collaborative efforts lead to informed decision-making in the face of environmental variability

Objectives of the research project

1.To develop an integrated coastal monitoring system using Earth Observation, low-cost sensing technologies, citizen science, and machine learning.

2.To achieve real-time data collection, enhance understanding of coastal dynamics, and actively engage communities in the monitoring process.

3.To create a comprehensive and adaptive framework for informed decision-making in coastal management, addressing the challenges posed by environmental changes.

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

Project Duration:

48 months (PhD)

Preferred Location:

ATU Sligo Campus

48 months (PhD)


Application Form / Terms of Conditions can be obtained on the website:

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).

Environmental Sciences (13)

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