|Location:||Coventry, Cranfield, Exeter|
|Funding for:||UK Students, EU Students|
|Funding amount:||£20,000 approximately, per annum - potentially tax free|
|Placed On:||26th July 2018|
|Closes:||12th October 2018|
Application Deadline: 12th October 2018
Start Date: October 2018
Eligibility: UK, EU
Duration of award: 4 years
Supervisor: Dr John Erkoyuncu and Dr Maryam Farsi
Cranfield University and Siemens Industrial Turbomachinery Ltd are seeking a top class candidate to undertake research leading to the award of an International Engineering Doctorate awarded jointly by the Universities of Warwick, Exeter and Cranfield.
As a ‘research engineer’ on our International Doctorate programme you will have unrivalled access to some of the best teaching and industrial expertise in the world, across three universities. While you will be based at Cranfield University and Siemens Industrial Turbomachinery Ltd, you will also spend time at Warwick and Exeter Universities to give you the broadest possible experience. You will emerge from the four-year programme more confident and better equipped to make a difference to the industrial sponsor and the global marketplace.
Re-manufacturing is a process in which worn-out parts/products are restored to like-new conditions through a series of disassembly, clean, refurbishment and assembly processes with the infusion of new/refurbished parts, as necessary, in a factory environment. Literature focuses especially on repair problems, however it does not sufficiently address the relationship between demand and returns of items, which sets the focus for this project. In a hybrid system, such as the gas turbine context at Siemens, the interaction and coordination between remanufacturing and manufacturing is the main issue, the literature that focuses on repair models are not sufficient.
Accordingly, this EngD aims to increase sustainable manufacturing by implementing digital twin concepts. A Digital Twin is a computational representation of a physical product or process. Through improved connectivity and integration of data it can enable improved decision making capability. The hypothesis for this EngD project is: digital twins can enhance robust estimates for parts requirements in overhaul shops within a remanufacturing context. The digital twin will focus on integrating remote monitoring, engine BOM / sales, operations forecast, with the procurement process. The research will be challenging and holistic in a variety of topics such as artificial intelligence, complex systems, supply chain management, engineering and engine build. The EngD will focus on developing innovative models and algorithms to predict the dynamic behaviours for parts movements in the remanufacturing processes. The project is highly complex and innovative as it combines big data analysis, and remote data collection to monitor critical components and predict requirements in an optimised manner for sustainable manufacturing.
Candidates should have a minimum of an upper second (2.1) honours degree (or equivalent) preferably in Mechanical Engineering / Industrial Engineering / Mathematics / Operations Research but candidates in other degrees related to Engineering or related quantitative fields would be considered. Candidates with an MSc degree in these disciplines will be desirable.
Qualifying students are offered an attractive enhanced stipend which could be tax and NI free depending on your personal circumstances, paid by the Centre and topped up by a contribution from Siemens Industrial Turbomachinery. Throughout the EngD this will be approximately £20,000 tax free per annum.
Due to funding regulations this project is open to Home/EU students only.
How to apply:
To apply please complete our online enquiry form and upload your CV.
For further information please contact:
T: +44 (0) 1234 754717
Centre: Through-life Engineering Services Centre
Type / Role: