Research Assistant: Physics-Informed FEA for AM Fatigue Life

Universiti Kebangsaan Malaysia; Bandar Baru Bangi; On-site; MYR 100,000 - 150,000; Full time

Job summary

A leading Malaysian university seeks a Master's student for research on fatigue life prediction of AlSi10Mg using finite element analysis and machine learning. Candidates should hold a Bachelor's Degree in Mechanical Engineering and possess good communication skills along with basic programming abilities in MATLAB. Responsibilities include performing experiments, analyses, and preparing reports for publication.

Qualifications

• Hold a Bachelor's Degree in Mechanical Engineering.
• Good verbal and written communication skills.
• Basic skill in programming language, Finite Element software and MATLAB.

Responsibilities

• Candidate will register as Masters student in the Faculty of Engineering and Built Environment, UKM.
• Candidate will perform experimental tests.
• Candidate will perform Finite Element Analysis.
• Candidate will perform machine learning modelling.
• Candidate will perform fatigue life analysis.
• Candidate will prepare final report as journal publication and thesis.

Skills

Verbal communication

Written communication

Programming languages

Finite Element software

MATLAB

Education

Bachelor's Degree in Mechanical Engineering

Job description

A leading Malaysian university seeks a Master's student for research on fatigue life prediction of AlSi10Mg using finite element analysis and machine learning. Candidates should hold a Bachelor's Degree in Mechanical Engineering and possess good communication skills along with basic programming abilities in MATLAB. Responsibilities include performing experiments, analyses, and preparing reports for publication.