2020 Civil and Structural Engineering PhD Scholarship

2020 Civil and Structural Engineering PhD Scholarship

2020 Civil and Structural Engineering PhD Scholarship

Not Available

About

The Australia Awards aim to promote knowledge, education links, and enduring ties between Australia and our neighbours through Australia's extensive scholarship programs. The program brings together scholarships offered by the Department of Foreign Affairs (DFAT), the Department of Education and the Australian Centre for International Agricultural Research (ACIAR).

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.
  • Funding AmountAUD ( 28092 )
  • Funding Durationyearly
  • Apply Date2024-2025
  • Deadline31-Dec-2024
  • GenderBoth
  • Destination CountriesAustralia
  • Scholarship TypesStipend (Allowance)
  • Number Of Scholarships2 Scholarship
Study LevelsPhD (Philosophy Doctorate)
DegreesEngineering and Technology, Computer and Mathematical Science

Requirements

Eligible

Value

This scholarship provides initially AUD $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.

Eligible courses

Doctor of Philosophy - Civil Engineering, 
(possibly) Doctor of Philosophy - Computing 

Eligibility criteria

1. Full time enrolment, for both domestic and international students 
2. Minimum required: Bachelor degree (the first class honours or upper second class honours) in Civil Engineering, Structural Engineering or related fields.  
3. 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) is provided in the University website. 

4. 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.

How to Apply

For further information, please contact the University website.

Apply to this Scholarship