PhD Scholarship: A Vision-Based Approach to Biofouling Analysis using Deep Learning Techniques

Description

This project focuses on developing a vision-based deep learning framework capable of estimating the biofouling state of a surface, identifying the species present, and modelling the rate of growth of the fouling. The resulting information can then be used to enhance the assessment of coatings during the research and development phase, as well as to identify vessels with a high potential for non-compliance with biosecurity regulations. This will ultimately enable vessel owners and operators to take proactive measures to mitigate biofouling and reduce the risk of introducing invasive species.

This project aims to understand biofouling growth in locations of interest to the industry partner, the influence of these parameters on material integrity and biofouling accumulation and composition, as well as the reciprocal influence of the materials on the local environmental water quality.

Benefits

This PhD Scholarship offers:

1. $46,555 per annum tax free, for up to 3.5 years (full-time).
2. Access to academic and industry expertise through joint supervision.
3. A supportive environment to learn leading-edge research methods and become an expert in your area.
4. The opportunity to manage a complex research project and respond innovatively to challenges.
5. A collaborative research community where you can enhance your skills and build your network to progress your research career.
6. Support through the ARC Training Centre for Biofilm Research and Innovation Foundation Program including specialist training and development, and the opportunity to undertake a 12-month industry placement.

Eligibility

To be eligible for a PhD Scholarship you will need:

• Provide evidence of Australia, New Zealand, USA or UK citizenship.
• Ability to provide a National Police Clearance obtained within the last 3 months; And potentially attain, and maintain, an Australian Security clearance level NV1 as determined under the Australian Government Protective Security Policy Framework (PSPF). 
• Meet Flinders University PhD admission requirements – an Australian Honours degree Class 1 or 2A, a Master Degree, or equivalent qualification (at least AQF Level 8), or evidence of equivalent research experience, such as refereed publications or significant experience as a lead researcher; and
• Scholarship recipients are expected to take up their studies as soon as practicable within a timeframe specified by the Office of Graduate Research in consultation with the industry partner, up to maximum of 3 months from the time of acceptance of the scholarship. In exceptional circumstances and with approval of the industry partner and the University, this time may be extended to 6 months; and
• Any other eligibility criteria relevant to the industry partner/research project.

It is desirable for applicants to also have:

• Honours/Masters degree in either Engineering, Computer Science or IT related fields.
• Experience in Deep Learning, Computer Vision, and Python programming
• Interest in working with an industry partner in the defence sector.
• Drivers licence