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PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26

Awarded by RMIT University, Melbourne City campus

Scholarship Details

Eligible Degrees

PhD

Funding Type

Partial Funding · AUD 33,826

Eligible Courses

Science or Engineering

Eligible Nationalities

Open to all nationals

Can Be Taken At

RMIT University, Melbourne City campus

Provider

RMIT University, Melbourne City campus

Last Verified On

25 Oct 2024 by WeMakeScholars Scholarship Team

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Overview

The project will use deep learning and artificial intelligence to assess the structural integrity and forecast the fatigue life of aircraft metal alloys that are additively produced.

Eligibility criteria:

To be eligible, applicants must:

  • Have a Master by Research degree; or
  • Have a Master by Coursework degree with a significant research component graded as high distinction or equivalent; or
  • Have a Bachelor Honours degree achieving first-class honours in Engineering (Aerospace, Mechanical, Materials, Manufacturing), Science (Physics, Chemistry), or a related field.

Application process:

To apply, submit the following documents to Professor Raj Das (raj.das@rmit.edu.au):

  • A cover letter outlining interest in the project
  • Evidence of research ability, such as a digital copy of a Master’s or Honours’ thesis
  • A digital copy of academic transcripts
  • A CV including any education, marks/grades, relevant professional experience, publications (if any), awards (if any), and names of two referees.

Benefits:

Eligible applicants will get a scholarship of $33,826.

Source : RMIT University, Melbourne City campus
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SIMPLE 5 STEP PROCESS

How to Apply

1

Check Eligibility

Confirm that you meet the scholarship requirements

2

Prepare Documents

Gather all required documents for your application

3

Submit Application

Apply through the official scholarship application process

4

Application Review

The scholarship provider evaluates eligible applications

5

Scholarship Decision

Selected applicants are informed about the final results

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Documents Needed

  • Academic Transcripts (Usually required)

  • Income Certificate (For need-based scholarships)

  • Identity Proof (Usually required)

  • Admission / Offer Letter (For select scholarships)

  • Statement of Purpose (If applicable)

  • Language Test Scores (If applicable)

  • Recommendation Letters (If applicable)

  • Other Supporting Documents (As specified by the scholarship provider)

Note: The exact document requirements vary by scholarship. Always refer to the official application guidelines

FAQs

  • Yes, you can secure an education loan to study abroad at RMIT University, Melbourne City campus. Education loans are of two types — Collateral and non-collateral. Collateral includes either: Immovable property – a house or a flat or land (or) liquid security – an FD, or LIC or shares or bonds. Agricultural lands are not accepted by any bank for education loan.

    Public banks like SBI, BOB offer these types of education loans. There are many NBFCs who offer Non-collateral education loans. Apply for the best education loan to study abroad.
  • The deadline of PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 is 31 Dec, 2026.
  • PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 is offered to PhD degree.
  • PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 is offered for Science or Engineering.
  • PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 is open for: Open to all nationals.
  • PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 is offered by RMIT University, Melbourne City campus.
  • PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26 covers Partial Funding, AUD 33,826.