We have 27 Engineering PhD Projects, Programmes & Scholarships in Loughborough

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Engineering

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Loughborough  United Kingdom

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Engineering PhD Projects, Programmes & Scholarships in Loughborough

We have 27 Engineering PhD Projects, Programmes & Scholarships in Loughborough

Novel High-Performance Coatings- Product and Process Development

Coatings are used for a wide range of applications with formulations developed or adapted according to the needs specific to the surfaces they are used on- smoothness, brightness, scratch resistance are among these. Read more

Funded PhD Studentships at the EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience

The EPSRC Centre for Doctoral Training (CDT) in Offshore Wind Energy Sustainability and Resilience supports exceptional graduates into exciting research projects that aid the sustainable growth of the offshore wind industry. Read more

Automated High Throughput Machine Learning-guided Condition Optimisation for Biocatalysis (Ref: CG-AC-2404)

To achieve net zero in chemicals synthesis and production, low energy approaches are critical. Here, biocatalysis provides not just a low-energy solution, but one which can also be highly selective, important in the production of high purity chiral materials such as pharmaceuticals. Read more

Fully funded EPSRC CDT in Engineering Hydrogen Net-Zero

Reaching global net-zero emissions targets, to tackle climate change and pollution, needs rapid growth in sustainable hydrogen technologies. Read more

Fully funded PhD studentships in Resilient Infrastructure

The School of Architecture, Building and Civil Engineering aims to be the world's leading integrated centre for built environment research, education, and learning, and is committed to investing in the next generation of exceptional researchers. Read more

Self-Supervised Learning for Complex Visual Understanding

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021. The aim of this PhD project is to advance the state-of-the-art in computer vision through the development and application of self-supervised learning (SSL) techniques. Read more

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