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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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Scholarship base Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,000 (2025 rate), indexed at 3% annually, for a maximum of 4 years. This is
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Cerebral visual impairment, also known as cortical visual impairment (CVI), is a visual impairment caused by damage...
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(CRT) program (the Program) is a funding program of the Western Australian (WA) Future Health Research and Innovation (FHRI) Fund. The FHRI Fund provides a secure source of funding to drive health and
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program
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Trailblazer builds new research capabilities and drives commercialisation outcomes in the resources technology and critical minerals sector. There will be opportunities to be involved in the Trailblazer Program
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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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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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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