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manufacturing PhD Projects, Programs & Scholarships

We have 306 manufacturing PhD Projects, Programs & Scholarships

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We have 306 manufacturing PhD Projects, Programs & Scholarships

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Additive Manufacturing Process Optimisation

 . Additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model. Additive manufacturing replaces historical terms, such as solid free form manufacturing and rapid prototyping, and is also commonly referred to as 3D printing. Read more

Rolls-Royce sponsored PhD scholarship, Mechatronics system for intelligent fixture systems for aeroengine related manufacturing processes - (ENG 1339X1)

Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3 year PhD program in partnership with industry to address key challenges in on-platform manufacturing engineering. Read more

PhD in Digital Twins of the Manufacturing of Structural Hollow Sections

Project Overview. This fully funded PhD studentship is an exciting opportunity to radically change the sustainability and efficiency of manufacturing processes. Read more

Rolls-Royce sponsored PhD scholarship, Mechatronics system for smart supervision and control for aeroengine related manufacturing processes - (ENG 1338X1)

Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3 year PhD program in partnership with industry to address key challenges in on-platform manufacturing. Read more

Increased Productivity in Manufacturing Through Machine Learning based Predictive Maintenance

Smart manufacturing is one of the novel concepts arising from the era of the 4th Industry Revolution. At present, the downtime of equipment and processes is costing UK manufacturers more than £180 billion per year. Read more

Artificial Intelligence and Machine Learning for Manufacturing

Manufacturing processes potentially generate a lot of data during the manufacture of a product. In most plants, data is either not collected or if collected, there is lack of knowledge on how to derive insights from the data collected. Read more

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