Lindsay Beevers

<p>The University of Edinburgh School of Engineering is offering several PhD research opportunities in the field of ocean modelling and marine hydrodynamics. One fully-funded position is available as part of the EU-INTERCHANGE project, focusing on dynamic downscaling for regional ocean model processes. The project aims to improve the accuracy and spatial resolution of regional ocean model data, with applications in offshore energy, aquaculture, and climate adaptation strategies. The research will involve investigating downscaling strategies for various regional ocean processes, including wave energy propagation and marine hydrodynamics, using advanced computational techniques such as machine learning.</p><p>Another opportunity is available through the E5 Doctoral Training Partnership (DTP), focusing on marine hydrodynamics simulations for high energy flow sites. This position is supported by competitive NERC funding. Both projects are based at the University of Edinburgh School of Engineering, within the Institute of Infrastructure and Environment, and offer the chance to collaborate with international partners such as TU Delft and the Norwegian Meteorological Institute.</p><p>Applicants should have a strong background in Engineering, Oceanography, Computational Science, or a related field, and be proficient in programming languages like Python or MATLAB. Excellent communication skills and a collaborative mindset are essential. Tuition fees and a stipend are available for Home applicants, while funding for international applicants is limited and competitive. The deadline for applications is December 15, 2025. For more information or informal enquiries, contact Dr Athanasios Angeloudis at [email protected].</p>

The University of Edinburgh is offering a PhD opportunity supervised by Professor Lindsay Beevers and Encarni Medina Lopez on future hydrological extremes in a changing climate . The project will quantify how floods and droughts may change under future climate change using the Reference Observatory of Basins for International hydrological climate change detection (ROBIN), a global network of near-natural catchments, together with global multi-model climate projections such as ISIMIP. It will investigate changes in the frequency, magnitude, duration and timing of hydrological extremes. A major research focus is the use of physically coherent climate storylines alongside probabilistic ensemble projections. The PhD will examine how antecedent meteorological and geophysical conditions influence the severity and sequencing of future floods and droughts, and how these relationships vary across catchments, climate regions and hydrological regimes. The work may also address compound and cascading climate risks, including interactions between hydrological extremes and wildfire risk. Applicants should apply through the E5 Doctoral Training Partnership project page.