Actively Hiring
UN
Research Assistant - Electrical Engineering
University of Alberta
Edmonton
Skills:
Machine Learning
Computer Vision
Job Description
Job Title: Research Assistant - Electrical Engineering
Company: University of Alberta
Job Category: Machine Learning
Roles & Responsibilities:
Location \- This role is in\-person. Work primarily takes place at North Campus, Edmonton.
Support the design and development of automated machinery for modular offsite construction through electrical schematic development, control panel design, component selection, system integration, testing, and commissioning. Contribute to the development of Building Information Modeling (BIM) systems, computer vision and machine learning applications, SCADA and digital twin infrastructure, and integrated Revit/BIM\-to\-machine workflows that enable advanced digital manufacturing and automated construction processes. Collaborate with cross\-functional teams to optimize automation processes, improve system performance, and troubleshoot operational issues.
The Faculty of Engineering is one of North America’s top engineering schools, known for innovation, collaboration, and impact. It fosters an exceptional student experience through a holistic approach that combines technical excellence with emotional intelligence. With strong community engagement, interdisciplinary research, and a commitment to societal well\-being, the faculty prepares students to lead in a rapidly evolving, global engineering landscape.* Design and develop 2D electrical schematics for automated machinery.
* Create and maintain 3D layouts of electrical control panels, ensuring space optimization and compliance with design standards.
* Configure SCADA and digital\-twin systems and develop Revit/BIM\-to\-machine workflows that convert building models into machine\-executable instructions.
* Prepare and manage bills of materials (BOM) for electrical systems, including component selection and documentation accuracy.
* Assist with electrical maintenance, troubleshooting, and performance optimization of automated equipment.
* Bachelor’s degree in Electrical Engineering or a closely related discipline.
* Demonstrated experience in electrical control system design and development.
* Experience with real\-time digital twins, Revit/BIM and IFC data, and model\-to\-machine workflows such as toolpaths, robot programs, and nesting files.
* Proficient in SolidWorks Electrical, SolidWorks, EPLAN, and Microsoft Office.
* Familiarity with construction practices and industrial automation environments.
The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.
All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms—physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.
Work Location: Edmonton, AB, Canada
Availability: Full time
Requirements
This competition is open to all applicants however; internal applicants will be given priority consideration based on minimum qualifications, or a combination of experience, skills, and abilities before external applicants are considered.*
This position offers a* comprehensive benefits package.*
At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.
Key Skills: Machine Learning, Computer Vision
Salary: Not disclosed