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Primary Supervisor: Dr. Davide Proment(opens in a new window) Come and join the research group of Dr Davide Proment at the University of East Anglia (UK, Norwich) to investigate how nonlinear waves propagate, interact, and self-organise on complex networks and graph structures. This PhD project lies at the intersection of nonlinear physics, applied mathematics, and scientific machine learning, and aims to uncover how the geometry, topology, and spectral properties of graphs influence wave dynamics in discrete systems. Nonlinear waves arise throughout physics whenever wave amplitudes become sufficiently large that linear approximations break down. Understanding their behaviour remains one of the central challenges of modern physics. While nonlinear waves in continuous media have been extensively studied, many natural and engineered systems are inherently discrete and structured as networks. Examples include signal propagation in neural brain networks, transport and flow in circulatory and pipe systems, wave transmission in engineered lattices and metamaterials, and the spreading of information or activity across social networks.
| IELTS | 6.5 overall, no part below 6 |
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IELTS 6.5 overall (minimum 6.0 in each component) or equivalent - check course page for specific requirements
International students: GBP 26,400 per year
UK students: GBP 5,181 per year
01 FEB 2027
Rolling admissions - apply early
Students who hold a Bachelor degree from a recognised institution will be considered for Postgraduate Diplomas and Masters degrees. If we ask for 2:1: we will consider GPA 2.8 or above. The exact requirement will vary depending on the course applied for and your previous university. Please email admissions@uea.ac.uk for further details
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