PhD project: Using microfluidics and machine learning to create highly parallelized biological physics experiments to investigate bacterial life and death
Project description
In this project, microfluidics will be used to create array-like structured growth environments for bacteria, comprising >1e4 picolitre replicates. The project will develop a platform that has been created by a previous PhD student to tackle problems addressing the role that the stochastic nature of bacterial life and death has on the control of bacterial populations. This could address the growth of hard to culture populations of soil bacteria, or it could address anti-microbial treatment strategies.
The researcher would gain the necessary skills in microbiology and microfluidics and will implement approaches to image processing that use techniques of machine learning.
Project supervisors
- Dr Simon Titmuss (School of Physics & Astronomy, University of Edinburgh)
- Professor Rosalind Allen (School of Physics & Astronomy, University of Edinburgh)
The project supervisors welcome 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 Physics of Living Matter.
- Find out more about the Institute for Condensed Matter and Complex Systems.
What next?
- 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.