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.
📌 PhD scholarship in ‘Structures and Materials': Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning (Melbourne)
🏢 Rmit University
📍 Melbourne
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.