|Funding for:||UK Students, EU Students|
|Placed On:||3rd June 2019|
|Closes:||15th July 2019|
Funding for:UK Students, EU Students
Duration: 3.0 years
Fully-Funded Doctoral Studentship in Artificial Intelligence in Engineering Management in the Manufacturing Environment; Department of Engineering, Durham University
Durham University is seeking applications for a PhD studentship as part of our ERDF funded project Artificial Intelligence in Engineering Management in the Manufacturing Environment. This project is a collaboration between the Universities of Durham and Dyer Engineering The successful applicants will be working alongside industrial experts from Dyer Engineering. They will be able to access training through the University’s Researcher Development Programme.
Artificial Intelligence in Engineering Management in the Manufacturing Environment
The focus of this project is concerned with the development of novel AI solutions to aid the quotation process.
Dyer Engineering is a rapidly expanding business which manufactures metal components and structures and delivers related services. Their business operates across a diverse range of markets, with the ability to manufacture parts you can pick up by the handful, through to large-scale structures operating in harsh sub-sea environments. They also provide support services to customers ranging from paper mills to aerospace companies.
The research of this AI project will be focused around the need to create a ‘feedback loop’ of continual improvement of enquiry prioritisation, quotation accuracy (plan vs actual), commercial base costing verification and automated review, shop floor communication and production process optimisation. In other words, the proposed project aims at investigating the quotation process to neither reduce profit nor lose business due to unrealistic quotations.
Prospective candidates will be judged according to how well they meet the following essential criteria:
The following criteria are desirable but not essential;
Candidates should contact the relevant member of academic staff to discuss project-specific requirements.
Funding and Application Process
Closing Date for Applications: 15/07/2019
Type / Role: