Co-op student - MEA Manufacturing at Ballard Power Systems Inc. — NeverHard
Co-op student - MEA Manufacturing at Ballard Power Systems Inc. in Burnaby, Greater Vancouver. Skills: Data Analysis, Excel, Hands-on, Initiative, Manufacturing Processes. Apply on NeverHard.
Company
Ballard Power Systems Inc.
Location
Burnaby, Greater Vancouver
Type
full_time
Required skills:
Data Analysis
Excel
Hands-on
Initiative
Manufacturing Processes
Troubleshooting
Burnaby, BC, Canada
Company:
Ballard Power Systems
Department
: Manufacturing Engineering
Work Term:
8 month, September 2026 - April 2027
Contact:
Parvez Grewal - Team lead, Manufacturing Engineering
Work Type:
Full-time, 40 hours per week
Ballard Power System requires a co-op student (8-month term) to assist in the development and improvement of manufacturing processes (MEA process) including but not limited to production data analysis, statistical analysis, and monitoring of new and current production processes.
Responsibilities:
The student will be responsible for:
Assisting in design, develop, implement, and troubleshoot new and existing manufacturing test and assembly processes
Assisting in design, specify and commission assembly fixtures and develop test macros and protocols.
Assisting in projects to improve manufacturing capability, yields, productivity, and capacity.
Developing shop floor work instructions/build sheets, process flows and quality control document; and
Analyzing and presenting test results
Requirements
Students from the following disciplines are appropriate for this opportunity:
Mechanical or Mechatronics Engineering
Manufacturing Engineering
Electrical Engineering
Engineering Physics
Chemical Engineering
Materials Engineering
Key skills include:
Ability to work in the lab or production floor, be very "hands on"
Eagerness to learn and take initiatives
Testing of electrical/mechanical components or assemblies
Data analysis using Excel and data presentation
Strong oral and written communication ability
Basic understanding of lean manufacturing is an asset
Experience with Excel Pivot tables along with programming experience in Python, VBA