PhD scholarship in Structures and Materials: Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning at RMIT University 2024/26

The project will use deep learning and artificial intelligence to assess the structural integrity and forecast the fatigue life of aircraft metal alloys that are additively produced.

Eligibility criteria:

To be eligible, applicants must:

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

Application process:

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

• A cover letter outlining 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.

Benefits:

Eligible applicants will get a scholarship of $33,826.