At a Glance
- Tasks: Use AI and deep learning to analyse defects and predict fatigue life in aerospace alloys.
- Company: Leading research institution focused on innovative engineering solutions.
- Benefits: $33,826 scholarship for your PhD journey.
- Other info: Ideal for those passionate about engineering and machine learning.
- Why this job: Join a cutting-edge project that shapes the future of aerospace materials.
- Qualifications: Master's or Bachelor's with first-class honours in relevant fields.
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: $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 desirable.
Phd Scholarship In 'Structures And Materials': Defect Analysis And Fatigue Life Prediction In Additively Manufactured Alloys Using Machine Learning in Melbourne employer: RMIT University
RMIT's Centre for Nature Positive Solutions offers a dynamic and inclusive work environment where you can contribute to meaningful research that supports Traditional Custodian communities and addresses critical environmental challenges. With flexible working arrangements, cultural leave, and a commitment to professional development, RMIT fosters a culture of collaboration and innovation, making it an excellent employer for those passionate about creating positive social and environmental outcomes.
