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We have 11 Manufacturing Engineering (particles) PhD Projects, Programmes & Scholarships

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Manufacturing Engineering (particles) PhD Projects, Programmes & Scholarships

We have 11 Manufacturing Engineering (particles) PhD Projects, Programmes & Scholarships

PhD in Manufacturing Routes for Highly Controlled Structured Metamaterial Nanoparticles

This is a challenging and unique PhD opportunity for a student with a good materials, physics and/or engineering background, interested in applying their knowledge to the rapidly growing and multidisciplinary field of metamaterials. Read more

Investigating the effect of plastics recycling on nanoplastic production in packaging applications

Nanoplastics, defined as plastic particles measuring less than 1000 nanometres, have emerged as a significant concern due to their ability to infiltrate ecosystems, posing potential risks to the environment. 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

Tailoring the Thermomechanical Properties of High Performance Aerospace & Automotive Composite Materials

Interested in high performance, lightweight composite materials? Take advantage of the fact that companies in the aerospace and automotive sectors are currently looking for good materials scientists and engineers with a composites PhD!. Read more

Through-thickness reinforcement compatible conductive polymer filaments PhD

Composite through-thickness reinforcement techniques are typically used to bolster through-thickness behaviour, composite’s primary weakness, but the integration of through-thickness elements for embedding electrical and thermal functionality is a fast-growing area of research. Read more

Behaviour of Granular Materials

Granular materials such as sand, snow, rice, ores, powders and soils are prevalent in nature and industry. Understanding the way they deform, fail, flow and mix is key to predict events such as landslides, erosion, earthquakes and snow avalanches. Read more
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