Job Overview
This project will deploy artificial intelligence and deep learning to evaluate structural integrity and predict fatigue life of additively manufactured aerospace metal alloys.
Value and Duration
Value and duration: $33,826
Eligibility
Master by Research degree
Master by Coursework degree with a significant research component graded as high distinction or equivalent
Bachelor Honours degree achieving first class honours; in Engineering (Aerospace, Mechanical, Materials, Manufacturing), or Science (Physics, Chemistry), or another suitable field;
Knowledge and Skills
Knowledge and background in either solid mechanics, material engineering or finite element analysis is desireable.
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📌 Phd Scholarship In 'Structures And Materials': Defect Analysis And Fatigue Life Prediction In Additively Manufactured Alloys Using Machine Learning (Melbourne)
🏢 Rmit University
📍 Melbourne
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