Concordia Student Research Assistant - Machine Learning for Predicting Fatigue Properties with Bell Helicopter
Last updated: April 23, 2025, 10:52 a.m.
Position
Concordia Student Research Assistant - Machine Learning for Predicting Fatigue Properties with Bell Helicopter
Posting period
April 23, 2025 to April 30, 2025, 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 250-400 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
How to apply
Interested applicants should submit the CV and cover letter to Dr. Rolf Wuthrich before April 30, 2025
“Concordia is a young, forward-looking university. It’s a unique place where experimentation, innovation and creativity are truly valued. Our community of students, faculty, staff and alumni all contribute to our momentum as Canada’s next-gen university.” — Concordia President Graham Carr.
Building on the skills of our faculty and the strengths of Indigenous, local, and global partnerships, we set our sights further and more broadly than others and align the quality of learning opportunities to larger trends and substantial challenges facing society.
Profoundly global, Concordia is recognized for attracting some of the most talented faculty and students from around the world. We are driven by ambition, innovation and a commitment to reconciliation, research and community engagement.
Tiohtià:ke/Montreal is exceptional; safe, vibrant and diverse, with new things to discover around every corner. With a population of 1.7 million, it houses four major universities, several clinical research centres, and has been named the best student city in the world.
Historically known as a gathering place for many First Nations, the city is now home to a diverse population of Indigenous and other peoples, and its residents enjoy the benefits of a thriving multicultural scene. While supporting a significant anglophone population, it is the one of the largest French-speaking cities in the world.
Montreal is famed for its innovative culinary scene and festivals. It was also the first metropolis to be designated a UNESCO City of Design by the Global Alliance for Cultural Diversity. The city is recognized globally as an important centre for commerce, aerospace, transport, finance, pharmaceuticals, technology, design, gaming and film.
Employment Equity
Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates, including women, racialized persons, Indigenous persons, 2SLGBTQI+ persons, and persons with disabilities; candidates are invited to self-identify in their applications.
Immigration Status
All qualified candidates are encouraged to apply; however Canadians and Permanent Residents will be given priority. To comply with the Government of Canada’s reporting requirements, the University is obliged to gather information about applicants’ status as either Permanent Residents of Canada or Canadian citizens. While applicants need not identify their country of origin or current citizenship, all applicants must include one of the following statements:
Yes, I am a citizen or permanent resident of Canada
or
No, I am not a citizen or permanent resident of Canada
