Machine Learning and Data Analysis Student (On-site)

Come join us to see how we are working to unlock the mysteries of the universe and shape the future. Apply now and be part of our extraordinary journey.

Learn more about the amazing research and work we do at TRIUMF.

• Brief Summary
  • Perform a feasibility study and develop tools for use of AI or machine learning to assist with predictive and preventative maintenance on Power Supplies (and other systems), possibility to progress to early development of machine learning algorithms
• Key Responsibilities
  • Analysis of data available with current control systems and what live vs historical can be obtained from work permits, elogs, etc.
  • Develop a system that processes historical maintenance records and creates a standardised database of equipment failures, symptoms, causes and repairs
  • Develop a system that records live data specifically that is critical to track equipment performance
  • Create a dashboard to present data and highlight anomalies
  • Research into possible machine learning or AI tools that could be developed for the data available, create a proof-of-concept for the feasibility of such a project
  • Possibility to extend to development of machine learning algorithms
• Learning Outcomes
  • Gain hands-on experience with control systems and data acquisition, including EPICS and power electronics sensor systems such as DCCTs and power meters.
  • Develop practical experience in data analysis, machine learning, and AI-assisted data processing, with an opportunity to investigate emerging tools and techniques for industrial preventative and predictive maintenance.
  • Gain experience working with real-world engineering data, including equipment performance data, historical fault reports, maintenance records, and work permits.
  • Gain exposure to the operation, monitoring, troubleshooting, and maintenance of high-power DC power conversion systems in a large research facility.
  • Develop experience applying emerging technologies to a practical engineering problem, including identifying equipment anomalies and investigating methods for predicting potential equipment failures.
  • Opportunity to contribute to a technical presentation at a Power Converters conference focused on the application of AI and machine learning to preventative and predictive maintenance
• Qualifications
  • Engineering background in electrical or computer engineering, or machine learning/neural networks
  • Data analysis
  • Python and web development would be helpful for HLA dashboard development
  • Machine Learning or AI development experience would be a plus

Skills required:

TRIUMF, Canada's national laboratory for particle and nuclear physics, is situated on the vibrant south campus of the University of British Columbia, nestled within the beautiful Pacific Spirit Park in Vancouver, BC.

At TRIUMF, we value our employees and are committed to providing a competitive total rewards package. In addition to a competitive salary, we offer comprehensive benefits that promote the well-being and security of our staff. Our organization provides an excellent opportunity to grow your career in a high-profile national research facility, where you can make a difference.

If you are passionate about science, engineering and technology, driven to excel, and eager to be part of a collaborative and forward-thinking organization, we encourage you to apply. Take the next step in your career journey with TRIUMF.

TRIUMF offers help with travel costs for students outside the Vancouver and surrounding area.

Applications must have the following documents uploaded:

• A resume/CV
• A covering letter that includes your interest in and your qualifications for the specific position
• A copy of academic transcript (unofficial copies are accepted)

Incomplete applications may not be considered.

Applications closing date:

Period of Work (possible 4 month extension):

Salary is commensurate with academic progress and previous relevant work experience, and ranges from $ 2815 to $ 4238 per month including 4% vacation pay.

TRIUMF is an equal-opportunity employer committed to diversity in the workplace, and we welcome applications from all qualified undergraduate students as defined below (unless stated otherwise above):

• Canadian undergraduate students or Canadian Permanent Resident undergraduate students enrolled in an accredited post-secondary institution in Canada (or outside Canada) who are studying in a vocational or professional training program that leads to a degree, diploma or certificate.

• Foreign full-time undergraduate students currently enrolled at a designated learning institution at the post-secondary level, and who are studying in an academic, vocational or professional training program that leads to a degree, diploma or certificate that is at least six months in duration, and who have a valid Canadian study permit which allows for employment off-campus, and who have applied for a Social Insurance Number

• Foreign undergraduate students enrolled in a recognized undergraduate program of study abroad who have accepted, or are in the process of accepting, an "Invitation to Apply" for a work permit under the International Experience Canada (IEC) program .

At TRIUMF, we’re passionate about accelerating discovery and innovation to improve lives and build a better world. Equity, diversity, and inclusion are integral to excellence and enhance our ability to create knowledge and opportunity for all.

Together, we are committed to building an inclusive culture that encourages, supports, and celebrates the voices of our employees, students, partners, and the people and communities we serve.

Contact information:
Email: student@triumf.ca
Phone: 604.222.1047
Fax: 604.222.3791

4004 Wesbrook Mall
Vancouver, BC
V6T 2A3