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the area of linking future energy demand drivers with the TIMES Ireland Model, an energy systems model which helps map Ireland’s energy transition pathway. The successful candidate will be based in the MaREI
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record, appropriate to their career stage. Candidates should have experience in modelling and simulation of wireless Time Sensitive Networks, especially using 5G radio technology, based on recent IEEE and
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. This will involve exploring and determining the linkages between restoration and other relevant policy initiatives such as Nature-based Solutions, Biodiversity Net Gain, etc. and how these may be incorporated
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be based at University College Cork within the Earth and Ocean Lab, Department of Geography. The successful candidate will be proficient in the use of OpenFoam and CFD modelling in general and will
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of Computer Science and Information Technology, to work on Insight Platform research in the area of multi-agent pathfinding in dynamic environments. In addition, the researcher may contribute to various other
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developed by the Offshore Renewable Energy group to model project scenarios. • Collaborating with team members to adapt simulation tools based on project needs. • While primarily contributing to the IDEA-IRL
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, Materials & Structures, Observations & Operations, Coastal & Marine Systems, Bioenergy, Energy Policy & Modelling and Renewable Energy Management. Lir NOTF houses Ireland’s only infrastructure for small
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of Biological, Earth and Environmental Sciences at UCC. The Postdoctoral Researcher will be based in the UCC School of Mathematical Sciences. The aim of the project is to develop new mathematical techniques
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benefits across European estuarine and coastal environments. The successful candidate will be physically based in Cork, Ireland, and will work closely with international partners on the logistics
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Generators, and hardware-accelerated primitives, the project establishes a dual-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives