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together to provide autonomous discovery experimentation You will explore high through put experimentation through robots, nature of metal corrosion inhibitor interactions at a fundamental level and will
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. Standard RMIT PhD enrolment requirement. Open to Domestic and International Students. All applicants should email the following to Ivan Cole@rmit.edu.au : A cover letter, outlining your interest and any
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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or autonomous operation. Supervision and Research Environment Lab: Design Health Collab, Faculty of Art, Design & Architecture, Monash University Lab Director: Professor Daphne Flynn PhD Supervisors: Dr Nyein
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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upon commencement of the PhD To be eligible for this scholarship you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital
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novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
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industries which are the industrial driving forces for Australia. The invented technologies will help autonomous underwater vehicles to look for submerged resources, and aid resource exploration and extraction