Details about PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26
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 PhD degree in the field of Science or Engineering. You can apply to this scholarship here. The deadline for the sending your application is 31 Dec 2026. This scholarship is provided by RMIT University, Melbourne City campus and the value of this scholarship is Partial Funding, AUD 33,826 . This scholarship is open for: Open to all nationals.
- Degree: PhD
- Provided by: RMIT University, Melbourne City campus
- Deadline: 31 Dec 2026
- Scholarship value: Partial Funding, AUD 33,826
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.
Our Scholarship team will help you with any questions
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