Dynamic downscaling for regional ocean model processes

We are offering a PhD opportunity focused on dynamical downscaling of regional ocean models. This studentship is supported as part of the EU-INTERCHANGE project, which aims to improve the accuracy and spatial resolution of regional ocean model data around Europe, having broad use cases in mind such as offshore energy and aquaculture. As global climate variability intensifies, precise regional modelling becomes crucial for developing effective mitigation and adaptation strategies for marine infrastructure. 

Within the Institute of Infrastructure and Environment, we maintain a track record in the coupling, applications, and development of regional ocean models. Capitalising and contributing to this effort, this project will

• Investigate effective downscaling strategies for different regional ocean processes, exploring wave energy propagation and other marine hydrodynamics towards minimising uncertainty of low resolution datasets
• Participate in research aimed at the dynamical downscaling of ocean models using cutting-edge computational techniques, including machine learning algorithms.
• Work collaboratively with an interdisciplinary and international team to refine and validate regional wave and ocean forecasting models, stemming from use cases and data from a wide range of sites.
• Publish research findings in peer-reviewed journals and present results at both national and international scientific meetings.
• Collaborate with EU-Interchange project collaborators, including researchers from Delft University of Technology (TU Delft) and the Norwegian Meteorological Institute (MET Norway)

The PhD topic will be refined based on the selected candidate’s strengths and research interests, ensuring alignment with the broader objectives of the School of Engineering and the EU-Interchange project.

For further information and queries regarding this opportunities, reach out to Dr Athanasios Angeloudis (a.angeloudis@ed.ac.uk )

Minimum entry qualification - 

• an Honours degree at 2:1 or above (or International equivalent) in Engineering, Oceanography, Computational Science, or a closely related field. 
• Proficiency and interest in programming languages such as Python, MATLAB, or similar, used for large-scale data processing and model development. 
• Excellent written and verbal communication skills, with the ability to engage effectively with diverse scientific communities.
• A proactive approach to problem-solving and an enthusiasm for collaborative research.

Further information on English language requirements for EU/Overseas applicants.

Tuition fees + stipend are available for applicants who qualify as Home applicants.

Further information and other funding options.