PhD in Machine Learning for Environmental Fluid Dynamics Modelling University of Southampton in United Kingdom

University of Southampton is advertising a PhD project in Data-driven urban aerodynamics for net-zero cities within the Faculty of Engineering and Physical Sciences . The project combines 3D particle tracking velocimetry , machine learning , fluid mechanics , computational fluid dynamics , and data assimilation to measure and predict airflow around buildings in complex urban environments. Research themes include wind loading , pedestrian-level wind comfort , natural ventilation , pollutant dispe...

PhD opportunity: AI for low-carbon concrete materials and structural design at the University of Southampton , Faculty of Engineering and Physical Sciences. This project sits at the intersection of civil engineering , materials science , artificial intelligence , machine learning , and structural engineering . The research aims to reduce the carbon footprint of concrete construction by linking concrete composition, mechanical properties, member dimensions, reinforcement, structural performance, ...

PhD opportunity at the University of Southampton on modelling gust-wing interactions in curvilinear flows , with a focus on vertical axis wind turbines (VAWTs) , computational fluid dynamics , data-driven modelling , experimental aerodynamics , and fluid mechanics . The project investigates how gusts affect blade aerodynamics in curved trajectories, including dynamic stall, throughflow, wake interactions, and nonlinear load fluctuations. You will combine CFD simulations, physics-informed predict...

PhD opportunity at the University of Southampton in Scientific Machine Learning for Fluid Dynamics and Hydraulics . This project focuses on Physics-Informed Neural Networks (PINNs) and their use as efficient alternatives to traditional computational fluid dynamics methods. The research aims to develop and optimise scientific machine learning approaches for problems in fluid mechanics and hydraulics , including fast flood modelling, alternative Navier-Stokes solvers, and fluid-structure interacti...

University of Bath, Department of Architecture & Civil Engineering, is advertising a competition-funded PhD studentship on combined effect of ventilation design and operation parameters on local ventilation effectiveness in single-zone naturally ventilated spaces . The project focuses on natural ventilation , ventilation effectiveness , indoor air quality , energy efficiency in buildings , and indoor airborne disease transmission . It aims to understand how parameters such as window layout, effe...