Machine Learning and Data Analysis Student (On-site)

TRIUMF; Vancouver; On-site; CAD 31,000 - 47,000; Full time

Benefits offered by this job

Travel support for students

Student program participation

Job summary

TRIUMF invites motivated engineering or ML-focused students to join a hands-on project at Canada's particle accelerator centre. You will perform feasibility studies and develop AI/ML tools to assist with predictive maintenance on power supplies and related systems, with potential progression to advanced ML algorithms.

You will analyze control-system data, build a standardized failures database, collect live critical data, and create dashboards to highlight anomalies.

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.

Responsibilities

• 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).
• 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.

Skills

Data analysis

Python

Web development

Machine Learning

Education

Engineering background in electrical or computer engineering, or machine learning/neural networks

Tools

EPICS

Job description

Discover TRIUMF, Canada's particle accelerator centre, and one of the world's leading laboratories for particle and nuclear physics and accelerator-based science. TRIUMF's diverse community of nearly 600 multidisciplinary researchers, engineers, technicians, tradespeople, staff, and students create a unique incubator for Canadian excellence, as well as a portal to premier global collaborations. Fueling innovation and improving lives, we are committed to accelerating discovery and shaping 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. TRIUMF’s student program typically hires ~40 students each term from across all disciplines who hang together socially and professionally during the term, and beyond. Our program offers young minds a chance to gather, learn, make new friends, and have fun doing so during their time at TRIUMF. We hold weekly ProD sessions for students which include different activities such as conflict resolution, emotional intelligence, critical thinking, and active listening. Additionally, we hold weekly seminars about the different experiments at TRIUMF, and these talks specifically cater to students. Located on the UBC campus makes it easier for students to make friends, create memories, and explore Vancouver all while working at TRIUMF. TRIUMF’s student program is more than just a place to work, its learning, memories, friendships, exploration, and development all clubbed into one.

Come join us to see how we are working to unlock the mysteries of the universe and shape the future. Learn more about the amazing research and work we do at TRIUMF.

https://www.discoverourlab.triumf.ca http://www.rarestdrug.com

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.

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.

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

Application requirements

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)

Applications closing date: September 21, 2026. Period of Work (possible 4 month extension): January 04, 2027‑April 30, 2027. 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 http://www.canada.ca/en/immigration-refugees-citizenship/services/work-canada/iec/apply-work-permit.html.

Contact information

Email: [e-mail] Phone: [phone] Fax: [phone] Wesbrook Mall Vancouver, BC V6T 2A3

Established in 1968 in Vancouver, TRIUMF is Canada’s particle accelerator centre. The lab is a hub for discovery and innovation inspired by a half‑century of ingenuity in answering some of nature’s most challenging questions. From the hunt for the smallest particles in the universe to the development of new technologies, TRIUMF solves problems and delivers impact. We drive compelling research and create ideas and innovations that benefit humanity.