Application Deadline: Applications accepted at any time
LOCATION: Australia
This scholarship is funded by 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 deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration.
ELIGIBILITY:
Student type: Future Students
Faculties and centers:
Faculty of Science & Engineering
Science courses
Engineering courses
Course type: Higher Degree by Research
Citizenship
Australian Citizen
Australian Permanent Resident
New Zealand Citizen
Permanent Humanitarian Visa
International Student
Scholarship base: Merit Based
Eligible courses: Any HDR student wishing to study in the field of artificial intelligence
Full-time enrolment in a PhD program at Curtin University
Background in artificial intelligence, computer vision, or structural/civil engineering
Demonstrated research experience, with evidence of publication
Strong programming skills and familiarity with machine learning or finite element modelling
Not currently receiving another scholarship of equal or higher value
Future student, please contact us via the EOI form. The EOI form supports the submission of the CV, academic transcripts, research experience, publication outputs, and referees.
Recipients must maintain satisfactory academic progress and actively engage in research aligned with the ARC Linkage Project
Recipients must participate in regular meetings with the supervisory team and contribute to project deliverables
BENEFIT:
This scholarship provides a living stipend of $37,500.00 p.a. pro rata indexed, based on full-time studies, for up to a maximum of 3 years.
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