PhD Studentship on the use of artificial intelligence to design new materials for roads (Computational Engineering/Civil Engineering/Physics) (ENG1368)
Applications are invited for the above post at the University of Nottingham, which will be working on a research project within the Faculty of Engineering. We aim to revolutionise the design of roads by using unsupervised machine learning techniques to generate virtual asphalts that allow us to create materials for pavements that last much longer at a lower price.
The successful candidate will investigate the applicability of Generative Adversarial Networks (GANs) to model three-dimensional textures of granular skeletons, their pore structures and intergranular fillers. The study will apply these concepts to bi-dimensional representations of asphalt mixture. By combining three-dimensional asphalt reconstructions with multiphysics software, based on discrete or finite elements the aim is to be able to predict the durability of every asphalt road material without the need for asphalt manufacturing or expensive laboratory testing.
Due to the nature of the project, the following skills would be desirable in the successful candidate:
* creative problem solving
* Python, TensorFlow, Pytorch, or C++ programming
* general familiarity with 3D image manipulation software (e.g., Inventor. SolidWorks, Meshlab, etc.)
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