SCORE is a €10m Horizon 2020-funded research project to increase climate resilience in European coastal cities. The overall aim of SCORE is to design, develop, monitor and validate robust adaptation measures in coastal and low-lying areas to protect them from increasing climate and sea level risks, including coastal flooding and erosion, to enhance their overall long-term resilience.
SCORE outlines a co-creation strategy, developed via a network of 10 coastal city ‘living labs’ (CCLLs), to rapidly, equitably and sustainably enhance coastal city climate resilience through Ecosystem-Based Approaches (EBAs) and sophisticated digital technologies. SCORE will establish an integrated coastal zone management framework for strengthening EBA and smart coastal city policies, creating European leadership in coastal city climate change adaptation in line with The Paris Agreement.
SCORE will involve citizen science in providing prototype coastal city early-warning systems and will enable smart, instant monitoring and control of climate resilience in European coastal cities through open, accessible spatial ‘digital twin’ tools.
SCORE will provide innovative platforms to empower stakeholders’ deployment of EBAs to increase climate resilience, business opportunities and financial sustainability of coastal cities.
The SCORE interdisciplinary team consists of 28 world-leading organisations from academia, local authorities, RPOs, and SMEs encompassing a wide range of skills including environmental science and policy, climate modelling, citizen and social science, data management, coastal management and engineering, security and technological aspects of smart sensing research.
Based on the SCORE project, the IT Sligo SCORE research team will appoint 3 PhD students to support the SCORE research activates. The appointed PhD students will contribute to implementing the programmes of work specified for IT Sligo’s research activity in the SCORE project and supporting the SCORE project partners as part of the collaborative research program.
The appointed 3 PhD students will be part of a large research team in IT Sligo and will collaborate with 28 partners in an ambitious research project. The research team is led by Dr Salem Gharbia, who specialises in integrated environmental systems sensing and modelling. The ideal candidates for this project are highly motivated individuals with a first-class or high second-class honours degree or Masters in environmental or civil engineering, environmental science, or a related discipline. Graduates in Mathematics/Computer Science/other Engineering disciplines will also be considered if they can demonstrate their suitability for one or more of the research themes listed below. Each of the 3 PhD positions will focus on one or more of the following research areas:
· Extreme Climate Events Hazards Modelling for Coastal Cities
· Ecosystem-Based Approach and hybrid Nature-Based Solutions to increase climate resilience of coastal cities
· Socio-economic analysis of climate change adaptation in coastal cities
· GIS Visualisation
· Environmental sensing
· Environmental statistics
· Applied mathematics
The PhD study may include field and experimental components, and therefore, practical experience in the field or lab environment will also be an advantage. Coding skills in R, Python or MATLAB are desirable. Previous research experience will be advantageous.
IT Sligo is a dynamic provider of higher education, research, innovation, and entrepreneurship in the North West of Ireland. The Institute has an established reputation in a number of key research areas.
These 3 PhD positions are based on the SCORE Horizon 2020 project, which provides an annual stipend of €16,000 and which includes a waiver of tuition fees for up to 4 years starting from the 1st of July.
For further information on the projects, terms and conditions, application form, etc., contact the Research Office at [Email Address Removed] or the project leader Dr. Salem Gharbia at [Email Address Removed]
The deadline for all applications is 5:00 pm 8th June 2021.
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