PhD Studentship in Coastal Hydrodynamic: This PhD studentship focuses on developing a computationally efficient hydrodynamic model to accurately simulate wave dynamics and pollution transport in coastal regions. The project aims to enhance the predictive capabilities of water quality management through the integration of machine learning techniques.
Designation:
PhD Researcher
Research Area:
Coastal Hydrodynamics, Water Quality Modelling, Machine Learning
Location:
Newcastle University, School of Engineering
Eligibility/Qualification:
- A strong background in Engineering, Environmental Science, Mathematics, or a related field.
- Proficiency in advanced programming and hydrodynamic modelling.
- Familiarity with machine learning techniques is an advantage.
Job Description:
The researcher will:
- Develop a multi-layer hydrodynamic model based on recent advancements.
- Integrate pollutant transport equations with the hydrodynamic solver.
- Create a surrogate modelling framework to facilitate real-time predictions.
- Conduct sensitivity analyses and explore a broad parameter space to identify key physical drivers of transport and dispersion.
How to Apply:
Interested candidates should submit their application, including a CV and a cover letter, to Dr. Vassilis Glenis at Vassilis.glenis@newcastle.ac.uk. For detailed information, candidates are encouraged to download the full PDF of the studentship.
Last Date to Apply:
Open now
