Scholarship

PhD scholarship in 'Structures and Materials': Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning

RMIT University Original Source
Award

A$33,826 - A$33,826

Deadline

Dec 31, 2026

Due in 304 days
Location

Australia

Applicants

individual

About This Opportunity

This PhD scholarship project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling for additively manufactured aerospace metal alloys. The project will deploy artificial intelligence and deep learning to evaluate structural integrity and predict fatigue life of additively manufactured aerospace metal alloys. High-resolution X-ray computed tomography (CT) will be employed to observe and quantify the dynamic changes of defects in AM Ni-based alloys with varying porosities and printing orientations during fatigue testing. The scholarship is offered through RMIT University's School of Engineering and is valued at $33,826 per year.

Duration 36 - 49 mo
1 award
research materials engineering mechanical engineering aerospace engineering machine learning additive manufacturing fatigue testing X-ray computed tomography nickel-based alloys structural integrity finite element analysis

Who Can Apply

Region
Australia
Project in
Australia
Applicants
individual
Organizations
academic

Application Details

Stages

  1. 1 single_stage

Required documents

cv cover_letter transcripts writing_sample references

External Application

This opportunity requires you to apply directly on the funder's website.

Apply on External Site

AI-Extracted Data

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Always verify on the official source

Key Information

Award Amount
A$33,826 - A$33,826
Application Deadline
December 31, 2026 at 23:59 UTC
Due in 304 days

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