Machine Learning Co-op Position (2026-09)

Closes: October 19, 2026

FTE: Full-time
Term: Up to 8 months – January 2027 to August 2027
Compensation:

• Third Year Co-op: $30.00/hr
• Fourth Year Co-op: $33.50/hr

Location: Nelson, BC (this position requires regular onsite work in Nelson)
Industry: Precision-engineered ion sources and related particle accelerator solutions
Fees: D-Pace will reimburse all co-op institution fees

Areas of focus: Responsible for developing and testing machine learning approaches for ion source control, performance optimization, and predictive monitoring through hands-on experimentation, data analysis, and prototype development.

How to Apply

In your cover letter please answer the following:

• What is the coolest or most rewarding project related to machine learning that you have worked on, and why? Describe a project that best demonstrates your technical skills related to this role. Include the objective, process, and outcome.

Please submit resume and cover letter as PDF documents using the following naming convention:

• YYYY – year number, MM – month number, DD – day number
• “YYYYMMDD-machine.learning.coop-surname-firstname.pdf”

Note: Only candidates chosen for an interview will be contacted.

Position Overview

D-Pace is looking for a senior-level (3^rd or 4^th year) student to take on projects associated with machine learning (ML) control of our ion sources.  The student will be developing and testing ML methods to improve ion source performance, ease of use, and operability. Students will be combining hands-on prototyping and experimentation with offline development, analysis and ideation.

Projects

D-Pace has several projects in this vein, depending on interest and experiences. Typically, we have a list of projects to choose from

• High speed arc detection: System for fast transient arcing events
• Beam Trip Prediction: Developing techniques to predict beam trips and arcing event from time-series data
• Offline Beam Simulation: Developing a surrogate behavioural model for offline testing of techniques and approaches
• Longevity Filament Experiments – Setup, Data gathering, Initial Analysis: Possible opportunity for co-authorship

Key Responsibilities

• Build, develop and test prototype ML models
• Evaluate ML models on a fully instrumented Ion source
• Conduct prototype testing and performance testing and document the results.
• Assist in instrumentation design and implementation (circuits, PCBs, OTS hardware integration)
• Assist in data acquisition, analysis, and processing
• Utilize electronic lab equipment to test and troubleshoot analog and digital circuits
• Manage your project, including status update meetings and design reviews
• Maintain accurate logs of experimental configurations, operating parameters, and experimental results
• Documentation management including electronic communication, electronic files, and test reports
• Safe, reliable, organized, and detail oriented

Qualifications

Required Qualifications

• Level: 3^rd or 4^th year students
• Discipline: Electrical Engineering, Engineering Physics, Software/Computer Engineering, Computer Science
• Currently legally entitled to work in Canada.

Required Experience

• A strong python background, knowledge, and experience
• Experience troubleshooting and operating complex systems
• Good documentation skills for writing and editing reports, and procedures.
• Hands-on experience with mechanics and/or electronics with a craftmanship mindset

Preferred Experience

• PLC Design & Programming knowledge and/or experience
• PCB and electronics hardware design
• Experience with Bayesian optimization
• Knowledge of accelerator fundamentals

Competencies

• Project Management & Organization: You plan, coordinate, and execute technical and experimental activities in an organized and disciplined manner. You maintain accurate logs, documentation, test records, and project updates while managing priorities effectively.
• Problem Solving and Analysis: You apply logical, data-driven reasoning to analyze system behaviour, troubleshoot technical issues, evaluate experimental results, and develop practical solutions through testing and iteration. You are able to review, validate and correct AI-generated code.
• Attention to Detail: You demonstrate accuracy and thoroughness in experimentation, data collection, testing, coding, and documentation activities. You understand that consistency and attention to detail are critical to reliable results and system performance.

What’s in it for you?

At D-Pace, you’ll be part of a team that’s shaping the future of particle accelerator technology. We offer a collaborative, innovative environment where your contributions directly impact scientific and industrial progress worldwide.

• Grow your technical capabilities and collaborative skills in an innovative company in the unique field of particle accelerators.
• Competitive wages based on compensation surveys, experience, and knowledge.
• Reimbursement of required university co-op program fees

About D-Pace

D-Pace Inc. is a global leader in supplying products and services to the international commercial accelerator industry. Our expertise spans ion sources, beam diagnostic devices, and beamline systems for research, industrial, and commercial accelerator systems. We are proud to support cutting-edge scientific and industrial applications through our innovative technologies and collaborative approach.

We are an equal opportunity employer and value diversity in our company. We encourage applications from individuals of all backgrounds, experiences, and perspectives. We believe that a diverse and inclusive workplace fosters creativity, innovation, and effectiveness. Accommodations are available upon request for candidates taking part in all aspects of the selection process.