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

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