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 LifePrediction In Additiv (Melbourne)
🏢 Rmit
📍 Melbourne
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