PhD project: Machine learning soft matter
The aim of this project is to use image data from complex soft material fabrication research to create a computational tool to guide future soft matter research in this area. The target material is a novel multi-compartment material called the bijel with potential applications across a broad range of sectors. We will begin this work using a library of existing images and the associated experimental parameters used to prepare the imaged samples.
Image processing and machine learning techniques will be harnessed to correlate image features with fabrication steps to achieve the desired outcome. The ultimate aim will be to provide experimental guidance in response to images of trial fabrication attempts.
During the course of this thesis project there will be opportunities to carry out both computational and experimental research.
- Dr Paul Clegg (School of Physics & Astronomy, University of Edinburgh)
The project supervisor welcomes informal enquiries about this project.
Find out more about this research area
The links below summarise our research in the area(s) relevant to this project:
- Find out more about Soft Matter Physics.
- Find out more about the Institute for Condensed Matter and Complex Systems.
- Find out how to apply for our PhD degrees.
- Find out about fees and funding and studentship opportunities.
- View and complete the application form (on the main University website).
- Find out how to contact us for more information.