PhD studentship on the use of artificial intelligence for the quality control of materials for roads (Engineering/Materials/Computational Sciences) (ENG1367)
Applications are invited to work on a PhD at the Faculty of Engineering of the University of Nottingham, in the field of construction materials, specifically asphalt mixture, which is the most commonly used material for roads. We aim to advance the inspection of asphalt roads by combining novel visual inspection with unsupervised machine learning techniques.
Specifically, the successful candidate will use advanced visualization techniques to analyse the texture of asphalt road surfaces and investigate the applicability of artificial intelligence and visualization approaches to predict the properties of the asphalt mixture.
Due to the nature of the project, the following skills would be desirable in the successful candidate:
* Creative problem solving
* Good English level (IELTS above 6.5 will be required)
* An interest in Computer Science and Animation/Graphics/Image analysis.
Candidates must hold a good honours degree or equivalent in an engineering or a numerical science topic or be able to demonstrate equivalent experience.
This is a 3.5-year programme. The start dates available is October 2020. The studentship includes fees and a tax-free stipend of £15,009 per annum. Please note that due to funding restrictions, current funding is available to UK or EU nationals that have been in the UK for the last 3 years only.
This position is available immediately and applications will be considered until the 31st of March. Please direct enquiries to Dr. Alvaro Garcia, [Email Address Removed] (Faculty of Engineering).
The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.
Please apply here https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
When applying for this studentship, please include the reference number (beginning ENG and supervisors name) within the personal statement section of the application. This will help in ensuring your application is sent directly to the academic advertising the studentship