An exploration of Information and Communication Technologies for the digital revolution in manufacturing PhD

Department(s):
Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
2:1+
Full-time:
4 years
Part-time:
not available
Reference number:
CDTEI_Lohse
Start date:
TBC
Is funding available?
Yes
UK/EU fees:
N/A
International fees:
TBC
Location:
Loughborough
Application deadline:
31 January 2018

Achievements

3rd

in the UK for research quality

REF 2014

10th

in the UK for Mechanical Engineering

The Complete University Guide 2018

Winner

of 2 Queen's Anniversary Prizes

Overview

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. 

Project detail

We are seeking excellent candidates with interests in automation and manufacturing engineering who want to study at a top 10 UK research-led University whilst working with industrial partners. 

This project is part of the EPSRC Centre for Doctoral Training in Embedded Intelligence. In choosing this project you’ll work alongside academics that are leaders in their field and benefit from a four-year studentship award that includes an enhanced EPSRC tax-free annual stipend of at least £17,553 per annum and UK/EU tuition fees. Furthermore, you will have access to a personal training budget of £10,000, which is in addition to a research budget and support from academic members of staff and industrial partners. This programme offers some of the most comprehensive training opportunities for embedded intelligent systems and will allow you to create a highly sought after portfolio of skills that bridge between engineering and ICT.

This project will offer the opportunity to work with some of the UK leading organisations in advanced manufacturing and intelligent automation technology to create new concepts and solutions for the digital revolution in manufacturing. It is co-sponsored by The MTC and you will join the Intelligent Automation research group in the School of Mechanical, Electrical and Manufacturing Engineering. The project will focus on exploring latest Information and Communication Technologies (ICT) to design and test transformative solutions that address the challenges faced by High Value Manufactures. During the project advanced data-driven learning approaches will be combined with embedded, distributed computing solutions building on the emerging paradigms of Cyber-Physical Systems and Industrial Internet of Things. You will have access to some of the best equipped labs in the UK at both the MTC and Loughborough University and work alongside some highly skilled researchers and engineers.

Supervisors

Primary supervisors: Professor Niels Lohse

Secondary supervisor: TBC

Find out more

For further project details email Professor Niels Lohse, or register your interest and ask us a question.

To find out more about postgraduate research in the department of Mechanical, Electrical and Manufacturing Engineering please visit our website.

Visit the followeing websites to find out more about the sponsors:

Enquiries about the application process and CDT programme can be made via email or visit the website.For answers to frequently asked questions about the CDT, visit the website

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Engineering, Automation or Applied Mathematics or other relevant discipline. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: high level programming language, control system design, embedded systems, simulation and modelling.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding

UK/EU:
N/A
International:
TBC

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.

The studentship is for four years and provides a tax free stipend of at least £17,553 per annum for the duration, plus tuition fees at the UK/EU rate. Due to funding restrictions, this funding is only available to those who are eligible to pay UK/EU fees. In order to qualify for a full award, all applicants must meet the EPSRC eligibility criteria including the minimum UK residency requirement.

How to apply

All applications should be made online. Under programme name, select “CDT Embedded Intelligence Wolfson School”. Please quote reference number: CDTEI_Lohse

Application details

Reference number: CDTEI_Lohse
Application deadline: 31 January 2018
Start date: TBC
Interview date: TBC

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