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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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anticipate the student will use statistical methods that include descriptive statistics, generalised linear models (GLMs) and structural equation models (SEMs). Supervisors: Professor Deb Loxton and Professor
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constraints. The project will be executed via qualitative techniques focusing on the lived experience of vulnerable older individuals. Methods will include semi-structure interviews and focus groups
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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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. Fixed term, full time position available for 2 years with a possibility of extension. About the project: We are seeking a highly motivated Structural Biologist to lead projects aiming to understand
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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Professor Wensu Chen on his Australian Research Council Future Fellowship project regarding “Multi-hazard resilient hybrid modular structures” along with Professor Hong Hao. This project aims to develop multi
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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: Bachelor degree (first-class honours or upper second-class honours) in Civil and Structural Engineering or related fields. Language requirement: IELTS, Overall 6.5, Speaking, Writing, Reading and Listening
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methods that could accelerate the commercial adoption of printed solar and enable its use on structures that can’t support conventional panels. This is an exciting opportunity to contribute to the next