Thomas Chaffre
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PhD Scholarship
Fully Funded PhD in Biofilm Analysis Using Deep Learning Techniques for Defence Applications Flinders University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position funded by the Defence Science and Technology Group (DSTG) and the Australian Submarine Agency. The post describes it as a fully funded PhD scholarship; no stipend amount or tuition details are given.
Country
Australia
University
Flinders University

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About this position
Fully funded PhD opportunity at Flinders University in Biofilm Analysis using Deep Learning techniques for defence applications.
The project is led by Dr. Thomas Chaffre (Lecturer in Robotics Engineering) and Professor Sophie Leterme, with co-supervision by Andrew Scardino, Paul Molino, and Richard Piola. It sits within the ARC Training Centre for Biofilm Research & Innovation, a national research centre based at Flinders University with partners across academia, industry, and government.
Research themes include biofilm science, biofouling analysis, computer vision, machine learning, and biology-informed AI. The post highlights a strong interdisciplinary environment connecting robotics engineering, biological data analysis, and defence-related research.
This is advertised as a fully funded PhD supported by the Defence Science and Technology Group (DSTG) and the Australian Submarine Agency. No stipend amount or deadline is stated in the post.
Interested candidates should review the project page and application details via the provided Flinders University link.
Funding details
Fully funded PhD position funded by the Defence Science and Technology Group (DSTG) and the Australian Submarine Agency. The post describes it as a fully funded PhD scholarship; no stipend amount or tuition details are given.
What's required
Applicants should be interested in a PhD project in biofilm analysis, deep learning, and biology-informed machine learning. The post does not list detailed academic prerequisites, but the topic suggests a strong background or interest in computer vision, AI, robotics engineering, or related biological/engineering fields would be relevant.
How to apply
Read the project details at the Flinders University link and follow the application instructions there. Contact the poster or the project team if you need more information before applying.
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