PhD in Wide-Area Ocean Environmental Inference Using Networks of Uncrewed Maritime Systems University of Southampton in United Kingdom

University of Southampton is advertising a PhD project titled Passive acoustic monitoring for characterisation of under-ice environments . This research focuses on under-ice acoustics , passive acoustic monitoring , acoustic propagation modelling , signal processing , machine learning , and data analytics . The project will study how naturally occurring ice-generated sounds can be used to characterise environmental conditions in the Arctic and High North, with applications in sonar performance p...

PhD opportunity at the University of Southampton in machine learning for large-scale distributed acoustic sensing (DAS) across urban, coastal, and maritime environments. This project focuses on developing computational methods for analysing large, noisy, and difficult-to-label DAS datasets. You will work on machine learning , signal processing , and spatiotemporal data analysis to detect, classify, localise, and separate events in fibre-optic sensing data. Possible research directions include se...

[Fully funded studentship covering fees, maintenance stipend of £21,805 per year for 2026/27, and a research training and support grant (RTSG). Limited number of studentships available for international applicants with home/international fee difference waived; relocation, visa, and health surcharge costs are not covered.] PhD Studentship at the University of East Anglia in volcanology, fibre-optic sensing, and AI-based seismic monitoring. This project, Listening to La Soufrière: Fibre Optics and...

PhD opportunity at Cranfield University in the UK on AI and machine learning for spectroscopic greenhouse gas detection . The project sits at the intersection of computer science , physics , environmental science , and electrical engineering , with a strong focus on tunable diode laser spectroscopy , optical sensors , advanced signal processing , and data-driven methods for methane and greenhouse gas measurement. You will work with a multidisciplinary team to develop and commercialise novel low-...

PhD opportunity at the University of Southampton in neuromorphic silicon for non-invasive communication BCIs , with a focus on EEG , brain–computer interfaces , electrical engineering , biomedical engineering , computer science , and machine learning . The project addresses a key bottleneck in EEG-based BCIs: the computing behind decoding. Instead of relying on a laptop or cloud, the research aims to move decoding onto the head using neuromorphic AI hardware. The work includes novel event-based ...