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

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; or a Master by Coursework degree with a significant research component graded as high distinction or equivalent; or a Bachelor Honours degree achieving first class honours; in Engineering (Aerospace, Mechanical, Materials, Manufacturing), or Science (Physics, Chemistry), or another suitable field;

How to apply

To apply, please submit the following documents to Professor Raj Das (raj.das@rmit.edu.au):

• A cover letter briefly outlining your interest in the project
• Evidence of research ability, such as a digital copy of a Master’s or Honours’ thesis
• A digital copy of academic transcripts

A CV including any education, marks/grades, relevant professional experience, publications (if any), awards (if any), and names of two referees.

Further information

Knowledge and Skills: Knowledge and background in either solid mechanics, material engineering or finite element analysis is desireable.