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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Essential Criteria First or upper second-class honours degree (or equivalent international qualification) in Electrical / Electronic Engineering or Physics. Strong interest in photonics, or high-speed
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, including a laptop. Key Objectives Develop and implement AI-assisted fault detection and diagnostics methods for industrial equipment and processes, including data-driven and hybrid (physics-informed
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the molecular features of marine polysaccharides that underpin this process. Project Description Marine algae produce complex polysaccharides (glycans) that play a poorly understood but potentially critical role
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Engineering » Other Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Ireland Application Deadline 20 Feb 2026 - 23:59 (Europe/Dublin) Type of Contract Temporary Job
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integrating mathematics, physics, computing, and communications engineering with sociocultural and ethical perspectives, QUESTING pioneers an innovative approach to building scalable, robust, and adaptive
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Innovators,” equipping doctoral candidates with expertise in quantum networks, hybrid classical-quantum systems, and interoperable cultural co-design. By integrating mathematics, physics, computing, and
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based solely on merit and potential, in accordance with equal opportunity principles. If you need reasonable accommodations during the process, please contact the supervisors · Timeline · Application
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of the normal admissions process. The Department typically provides financial support in the form of tuition grants, stipends, teaching and research assistantships, and support for postgraduate
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science. Application process: For further details on the scholarship and on the application requirements and process, follow the link below https://www.ucd.ie/spire/study/prospectivephdstudents
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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal