Agent Based Cyber-Physical-Devices towards Symbiotic Assembly Systems PhD
- Mechanical, Electrical and Manufacturing Engineering
- Entry requirements:
- 3 years
- not available
- Reference number:
- Start date:
- UK/EU fees:
- International fees:
- Application deadline:
- 30 January 2018
in the UK for research quality
in the UK for Mechanical Engineering
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of 2 Queen's Anniversary Prizes
Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.
The assembly domain in recent years has been under pressure to deliver highly adaptable and quickly deployable solutions. This is due to the current unpredictability of markets and shorter product lifecycles. Current approaches to deal with these needs require high labour making it economically inviable in markets with high labour cost. In order to address these challenges, there is a need for a “Plug and Produce” assembly system approach that encompasses the human element to create the next generation of assembly environments, Symbiotic Assembly Systems.
The aim of this research project is to enable such vision through the creation of agent-based self-aware Cyber-Physical-Devices that are able to interact, with both other components and humans, to deliver assembly system solutions. The scope of the work is to enhance the existing control approaches for mechatronic agents, in order to achieve symbiotic and robust collaborations, making systems easily adaptable and targeting zero down time. Additionally, the project will investigate how to ensure that performance of systems does not degrade in relation to traditional systems.
Primary supervisor: Pedro Ferreira
Secondary supervisor: Niels Lohse
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in engineering, operations management, computer science, applied mathematics or a related subject.
A relevant Master's degree and / or experience in one or more of the following will be an advantage:
- Industry 4.0
- Internet of Things
- Software skills, namely java, C#, etc.
- Good communication skills.
All students must also meet the minimum English Language requirements.
Fees and funding
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.
This is an open call for candidates who are sponsored or who have their own funding. If you do not have funding, you may still apply, however Institutional funding is not guaranteed. Outstanding candidates (UK/EU/International) without funding will be considered for funding opportunities which may become available in the School.
How to apply
All applications should be made online. Under programme name, select Mechanical and Manufacturing Engineering. Please quote reference number: PF06112017