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We have 88 Applied Mathematics (computational engineering) PhD Projects, Programmes & Scholarships

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Applied Mathematics (computational engineering) PhD Projects, Programmes & Scholarships

We have 88 Applied Mathematics (computational engineering) PhD Projects, Programmes & Scholarships

Ocean Mixing Parameterisation via Categorisation of Nonlinear Flow Structures - Project 1: Mathematical Model Development

One of the key challenges for large-scale climate models is to accurately parameterise the mixing which occurs in the oceans. Such mixing occurs at small-scales, well below the grid-resolution of the climate models, and consists of the turbulent exchange of heat and salt between neighbouring regions of fluid. Read more

Numerical Modelling of Cracked Materials under Loading

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

Low-noise Ducted Propulsion Systems for Next-Gen eVTOL Platforms

Supervisory Team.   Phillip Joseph, Sergi Palleja Cabre and Chaitanya Paruchuri. Project description. Overview. Electrically-powered vertical take-off and landing (eVTOL) aircraft are poised to revolutionize transportation, contributing significantly to the UK economy. Read more

Rapid production of hollow spheres using coaxial nozzles: multiphase CFD

Supervisory Team.   Ivo Peters, John Shrimpton. Project description. When a gas surrounded by a liquid film flows out of a coaxial nozzle, the stream can spontaneously deform into liquid shells. Read more

Large Eddy Simulation Around Buildings (LES)

Computational Wind Engineering has been developing rapidly over the last couple of decades. Among the numerical techniques, Large Eddy Simulation (LES) is capable of simulating complex unsteady turbulent flows, which is very useful for applications such as wind-induced noise/vibrations around buildings and structures. Read more

Deep learning for black hole tomography

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more

Study of turbulence in fusion technology using high fidelity simulations

A fully-funded PhD Studentship with an enhanced stipend of £2,500 for 3.5 years is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid dynamics (CFD). Read more

Space Trajectory Classification using Machine Learning

Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial). Project description. Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. 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
Last chance to apply

Machine learning algorithms for ab initio-based paramagnetic NMR analysis

The University of Bath is inviting applications for the following PhD project under the supervision of Dr Elizaveta Suturina in the Department of Chemistry. Read more

New parameter inference for stochastic models of tissue growth

My research group is recruiting a PhD student who will work on a project to produce and apply new computational methods for parameter estimation with a focus on discrete models that describe tissue growth experiments. Read more

Composite Structures

Composite structures are extraordinarily versatile. They have been used across mechanical, aerospace, civil engineering sectors in a range of applications (airframes, new car configurations, etc). Read more

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