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) at Trinity College Dublin is seeking a PhD student to explore the influence of topology in designing & operation of distributed quantum networks. The candidate will be part of the Marie Skłodowska-Curie Action
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will be embedded within the interdisciplinary research facilities of the Trinity Translational Medicine Institute and Trinity Biomedical Sciences Institute. A range of state-of-the-art core facilities is
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of academia and industry Access to state-of-the-art laboratories, equipment and test facilities (UAVs, ground vehicles, and robot manipulator) Mentorship and collaboration with leading control and robotics
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Offer Description Applications are invited from suitably qualified candidates for a full-time funded PhD scholarship affiliated to the College of Arts, Social Sciences, and Celtic Studies
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Environmental Ethics Bioethics AI Ethics (3) Topics in Music: Music in Digital Cultures (including AI) Electroacoustic Music/Sound Studies Music, Technology, and Higher Education Music and Arts Infrastructure
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your research. Duties: Undertake research as directed by the PI, designing and sythesising carbohydrate derivatives, metal complexes, and soft materials, and profile their biological behaviour Perform
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models with digital twins and industrial data streams to enable real-time anomaly detection and condition monitoring. Apply and extend reliability and performance metrics (OEE, MTTF, MTTR) to quantify
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PhD Scholarship in High-level quantum chemistry calculations on key reactions in ammonia combustion.
international peer-reviewed journal articles. Supervise and mentor undergraduate students in quantum chemistry calculations. Day to day responsibility for the performance of all duties associated with
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
hybrid combinations to boost outgoing pulse power and enhance backscatter detection while maintaining low noise, low distortion, and stable system operation. A key innovation is the exploration
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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