Concordia Student Research Assistant - Machine Learning for Predicting Fatigue Properties with Bell Helicopter

Concordia Student Research Assistant - Machine Learning for Predicting Fatigue Properties with Bell Helicopter Last updated: April 23, , 10:52 a.m. Position
Concordia Student Research Assistant - Machine Learning for Predicting Fatigue Properties with Bell Helicopter
Posting period
April 23, to April 30, , or longer until the position is filled.
Supervisor
Dr. Rolf Wuthrich
Job description
The student is to apply machine learning techniques to predict the fatigue properties of aerospace materials.
Key responsibilities Use machine learning to analyze fatigue testing data.
Contribute to innovative solutions in aerospace technology. Preferred qualifications Strong background in machine learning and data analysis.
Strong background with Python
Some knowledge of fatigue testing or materials science (aerospace experience is a plus). Degree level
Undergraduate student (or master degree). The student must maintain active registration in a Concordia degree pr...