Powertrain Resource Optimisation and Development for Utilisation and Competence in Testing (PRODUCT) PhD

Aeronautical and Automotive Engineering
Entry requirements:
4 years
not available
Reference number:
Start date:
Is funding available?
UK/EU fees:
International fees:
Application deadline:
31 January 2018



nationally for research quality

REF 2014


£17m STEMLab facility


in the UK for Aeronautical and Automotive Engineering

The Complete University Guide 2018


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 automotive, control and powertrain 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.

Loughborough University aims to ensure equality for men and women. We follow the principles of the Athena SWAN Charter by wishing to attract, support, and reward women in STEMM at all career stages.

The studentship is co-sponsored by AVL and you will be based in the School of Automotive and Aeronautical Engineering. The aim of this project is to develop and validate procedure for evaluating an intelligent embedded environment using Hardware-in-loop methodology for components selection and validation during early stage of the powertrain design using optimization tools. This approach will facilitate the design and development of new generation of low carbon powertrain technologies.


Primary supervisor: Professor Kambiz Ebrahimi

Secondary supervisor: TBC

Find out more

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

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 mechanical, electrical, mathematics and physics or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: control, automotive, powertrain design and testing.

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

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.

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. 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_Ebrahimi

Application details

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