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We have 13 Mechanics PhD Projects, Programmes & Scholarships in Southampton
Mechanics PhD Projects, Programmes & Scholarships in Southampton
We have 13 Mechanics PhD Projects, Programmes & Scholarships in Southampton
Investigating failure mechanisms in next-generation aerospace materials
PhD Supervisor: Isha Gupta. Project description. We invite applications for a Ph.D. position focusing on high-performance aerospace materials. Read more
Artificial intelligence for ultrasonic characterisation of complex materials
Research Group:
ISVR: Dynamics Group
Explore the space where physics-based modelling and artificial intelligence meet. Join this project on ultrasonic non-destructive characterisation of complex materials. Read more
Faster and Quieter? Predictions of unsteady pressure and far-field acoustics of unsteady surfaces
We invite applications for a PhD studentship focusing on advanced experimental and low-fidelity computations for the characterization of unsteady pressure fields and far-field acoustics generated by water-borne vessels. . Read more
Ultrabroadband solutions for intra data-centre comms
Supervisory Team. Prof Gilberto Brambilla, Dr Martynas Beresna. With the advent of machine learning and AI, more and more technologies are reliant on data centres, that already absorbs few % of the world generated power and it is forecasted to exceed 20% over the next decade. Read more
Insect-Inspired Fluid-Structure Interactions for Resilient Flight
Research Group:
Aerodynamics and Flight Mechanics
This project investigates bio-inspired fluid-structure interactions to improve wing resilience under unsteady conditions. By studying how insects adapt to dynamic environments, such as turbulence and surface interactions, we aim to develop innovative strategies for enhancing wing performance. Read more
Nonlinear ultrasonic imaging for closed cracks
Research Group:
ISVR: Dynamics Group
Closed cracks are challenging material defects where the two split faces touch, making them extremely difficult to detect. This project aspires to create new methods for ultrasonic imaging of complex cracks through experiments, modelling and advanced imaging development. Read more
3D printed porous metamaterials for customised protective packaging of high-value objects
Delicate, high-value objects such as museum artefacts or medical goods warrant bespoke packaging solutions for protection against shock and vibration damage during transit. Read more
Soft Robots with Integrated Sensing, On-Demand Therapy and AI-assisted Control
Supervisor. Dr Rujie Sun. This PhD project offers an exciting opportunity to pioneer advancements in healthcare technology through soft robotics, flexible electronics, and AI-assisted systems. Read more
Time-varying vibro-acoustic analysis for sustainable digital twins
Research Group:
ISVR: Dynamics Group
Vibro-acoustic digital twins have the potential to increase the sustainability of machines and vehicles by making them more silent, while keeping performance high and energy consumption low. Read more
Investigating a low-cost, eco-friendly coating alternative for aircraft landing gear
This Ph.D. project explores an eco-friendly “flash carbide” coating for extreme wear environments in aircraft landing gear. Through advanced tribological testing and materials damage modeling, it will benchmark this new HVAF-deposited coating against conventional HVOF alternatives. Read more
Solid-state Additive Manufactured oxide dispersion-strengthened Magnesium alloys for Aerospace Applications
The aim pf this project is to enhance the performance of Mg alloys in extreme space environments by improving their high-temperature strength, radiation resistance, and overall durability. . Read more
Modelling the Role of Hard Particles in Hard Facing Alloys
Supervisory Team: Robert Wood, Georges Limbert and Dave Stewart (RRSL). Project description. Hard facing alloys, such as those used in nuclear power plant, are composite materials comprising carbides (and other hard phases), in galling resistant metallic matrices. Read more
Advanced Drivetrain Monitoring through use of Machine Learning and Optical Fibre Speckle Patterns (GE Aerospace)
Supervisory Team: Christopher Holmes, Martynas Beresna, Timothy Lee. Project description. Embark on a ground-breaking PhD journey poised to revolutionize the field of large aerial drone condition monitoring. Read more
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