Décoration intérieur Offres d'emploi - Saint-Hubert, QC

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 program throughout the employment period. Duration/renumeration Full time internship over summer and part time during fall semester (start and end dates are open to discussion but should cover at least 80% of the summer term) Payment according qualification and in agreement with CREW-RA collective agreement Number of hours of the contract Upon agreement, but should be in a range of - hours. Departments Department of Mechanical, Industrial and Aerospace Engineering & Department of Chemical and Materials Engineering Start and end dates of the contract Start and end dates are open to discussion but should cover at least 80% of the summer term