Project description
Biofouling, the accumulation of diverse microorganisms on submerged surfaces, poses a persistent challenge for the maritime industry. Biofilm, a complex consortium of microorganisms encased within a self-produced matrix, plays a pivotal role in the process of biofouling. As advances are made in the use of technology across industries to collect data such as remote monitoring, artificial intelligence, and predictive modelling the potential for data-driven insights to address biofouling-related issues remains largely untapped. In the realm of antifouling technologies, data's potential to offer practical insights, tackle challenges, and drive research is still in the early stages. The aim of the project is to develop a computational standard using Live/Dead fluorescent staining thus enabling the systematic evaluation of antifouling paint efficacy. This project is proposed as part of ARC Industrial Transformation Training Centre for Biofilm Research and Innovation.
Co-supervisors
Professor Sophie Leterme
Further information
For more information, contact Tamar Jamieson (tamar.jamieson@flinders.edu.au)
Assumed knowledge
Python and C++ programming, Linux OS is desirable
Industry involvement
Defence Science and Technology Group
Note: You need to register interest in projects from different supervisors (not a number of projects with the one supervisor).
You must also contact each supervisor directly to discuss both the project details and your suitability to undertake the project.