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.

• Future Students

• Faculty of Science & Engineering
  • Science courses
  • Engineering courses

• Higher Degree by Research

• Australian Citizen
• Australian Permanent Resident
• New Zealand Citizen
• Permanent Humanitarian Visa
• International Student

• Merit Based

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.

2

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

Name: Dr Qilin Li

Email: qilin.li@curtin.edu.au

Web: https://staffportal.curtin.edu.au/staff/profile/view/qilin-li-bf62f954/