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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
fading, and maintain stable performance over 40–100 km fibre lengths. Perform co-simulation of optical and electronic/system-level subsystems (e.g., using Python, MATLAB, VPI). Build and characterise
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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interpersonal skills. A commitment to gaining practical experience working on a research project. Ability to work well within a team. Desirable Criteria Programming or modelling experience (e.g. Python, MATLAB
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metrics (OEE, MTTF, MTTR). Programming and analytics experience (e.g. Python, MATLAB). Experience engaging with industrial stakeholders and managing site-based research activities & strong organisational
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science, physics, chemistry, or equivalent experience. Demonstrated experience with coding (MATLAB, Perl, Python, Jupyter, C, etc.) and quantum chemistry software (VASP, CP2K, quantum espresso, wien2k