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We have 75 Fluid Mechanics (dynamics) PhD Projects, Programmes & Scholarships

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Fluid Mechanics (dynamics) PhD Projects, Programmes & Scholarships

We have 75 Fluid Mechanics (dynamics) PhD Projects, Programmes & Scholarships

EPSRC Centre for Doctoral Training in Future Fluid Dynamics provided by the Leeds Institute for Fluid Dynamics

The Leeds Institute for Future Fluid Dynamics offers a four-year programme that combines an integrated MSc (completed over the first two years) paired with a three-year PhD-level research programme. Read more

Advanced computational modelling of nanobubble cavitation dynamics

Rapid changes in pressure, such as in high-frequency ultrasound, can stimulate bubbles to nucleate, oscillate, and collapse violently, in a phenomenon known as cavitation. Read more

Exploring Advanced Materials for Mitigating Cavitation Damage

Supervisory Team.   Ivo Peters. Project description. Cavitation damage poses a substantial threat to equipment across various industries, impacting performance, increasing maintenance costs, causing downtime, and posing safety and environmental risks. Read more

Exploring the Interplay of Computational Mechanics, Fluid Dynamics, and Thermal Analysis in Engineering Systems

Our research group in school of Engineering Technology and Design (ETD) at Canterbury Christ Church University (CCCU) focuses on cutting edge projects at intersection of computational mechanics, computational fluid dynamics (CFD), thermal analysis and fluid-structure interaction (FSI). Read more

Physics-based Multi-scale Modelling of Multi-Material Additive Manufacturing

Project Details. Additive manufacturing (AM) is emerging as a promising alternative for designing multi-material parts for complex geometries in engineering applications; especially in the biomedical sector. Read more

Multi-Phase Fluid Dynamics of Medicines During Transit

Supervisory Team: Ivo Peters, Tim Waters. Project description. The increasing use of drones and electric bikes offers exciting new opportunities for bespoke and efficient transportation of medical products. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Effects of flexible vegetation on oscillatory flow hydrodynamics and sediment dynamics

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Multiscale investigation of corrosion deposition in high temperature high pressure water for nuclear power plants

We are pleased to present an exciting PhD opportunity in collaboration with Rolls-Royce, providing a unique chance for candidates to participate in a multiscale investigation of corrosion deposition in high-temperature, high-pressure water for nuclear power plants. Read more

Multi-physics investigation of spray in a crossflow

Understanding the dynamics of particles (solid and liquid) in a crossflow is essential for many scientific investigations and engineering applications. Read more

Pathogen Aerosolization and Detection in Building Wastewater System Fluid Dynamics

  Research Group: Institute of Sustainable Built Environment
The development of high-rise buildings is now at an unprecedented rate, with their number and scale rapidly and dramatically changing the landscape of global cities. The creation of these complex vertical communities poses major operational challenges for the systems relied upon for occupant safety and the responsible management of wastewater resources. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

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