Funded PhD Studentship: High Performance Computing for Powertrain Control Applications a funded PhD Studentship with JLR

Loughborough University

Start date of studentship: September 2017

Closing date of advert: 31st August 2017

Interview date: first week of September 2017


Primary supervisor: Dr James Knowles

Secondary supervisor: Dr Byron Mason

We are seeking excellent candidates with interests in automotive systems, engine calibration and control 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.

Full Project Detail:

The studentship is co-sponsored by JLR and you will join a growing research group within the School of Automotive and Aeronautical Engineering.

Computer power for automotive systems is increasing year on year, and is likely to see even greater increases as more emphasis is placed on autonomous capabilities. Current engine control strategies are not able to take advantage of increased computational power, thus limiting potential future benefits obtainable from multi-core processors. Working as part of the engine calibration and control research group, the PhD candidate undertaking this project will establish a new framework for calibration and control using multi-core computing power. The collaboration with JLR will enable the PhD candidate to work with engineers at the company, in order to maximise the opportunity to exploit successful outcomes from the research project.

Find out more:

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree or equivalent in engineering or a related discipline such as computer science, mathematics or physics . A relevant Master’s degree and/or experience in model predictive control; machine learning; parallel computing; powertrain modelling; engine calibration and control would be advantageous.

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

Funding information:

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

Contact details:

Name: Dr James Knowles or Dr Byron Mason

Email address: or

Telephone number: 01509 227 273

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

How to apply:

All applications should be made online at Under programme name, select “CDT Embedded Intelligence Wolfson School”

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Midlands of England