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Overview
Scholarship type
Merit based
Number of scholarships to award
One
Grant
$28,092 per year
Scholarship coverage
- tuition fee reduction
Description
The candidates will be working in the area of structural health monitoring of civil engineering structures on an Australian Research Council Future Fellowship project “Innovative Data Driven Techniques for Structural Condition Monitoring”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in this project.
Applicable programmes
Benefits
This scholarship provides initially $28,092 stipend per annum, based on full-time studies, up to a maximum of three and a half years. For international students, tuition fees for the duration of the award could be covered.
Eligibility
- Full time enrolment, for both domestic and international students
- Minimum required: Bachelor degree (the first class honours or upper second class honours) in Civil Engineering, Structural Engineering or related fields.
- The language requirement (IELTS: Overall 6.5, Speaking, Writing, Reading and Listening 6.0; or TOEFL, internet based Overall 79, Reading 13, Listening 13, Speaking 18 and Writing 21).
- Applicants with Master degrees by research with technical 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 analysis techniques, are preferred.
Scholarship requirements
Disciplines
Civil Engineering & Construction
Locations
Australia
Nationality
226 nationalities
Study experience required
Master
Age
Unknown
Application
Application deadline
31 Dec 2024
To apply, please send your expression of interest together with your CV, English testing score,qualifications, publications and academic transcripts via email to Associate Professor Jun Li.