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Computer Vision Research Assistant Jobs in Alberta

CA$850/wk

... assistant roles, to take part in upcoming market research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

CA$850/wk

... assistant roles, to take part in upcoming market research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

CA$850/wk

... assistant roles, to take part in upcoming market research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

CA$850/wk

... assistant roles, to take part in upcoming market research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and ...

... * Assist with experimental setup, execution, and monitoring, including tracking reaction ... Medical, Dental, Vision and Employee Assistance Programs to meet your individual or family needs.

Our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and ...

The intern will assist with experimental planning, raw-material preparation, reactor operation ... Basic computer proficiency (e.g., Microsoft Excel, Word) Education and Experience: Education

CA$850/wk

... virtual assistants roles, to take part in upcoming research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

CA$850/wk

... virtual assistants roles, to take part in upcoming research studies. These may involve online ... Access to a smartphone, tablet, or computer with a functional camera * Reliable internet connection

Research and evaluate new technologies and methods for improving machine vision image quality ... University Degree or diploma in Computer Science, computer engineering or related degree, diploma ...

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Computer Vision Research Assistant information

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are popular job titles related to Computer Vision Research Assistant jobs in Alberta?

For Computer Vision Research Assistant jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Computer Vision Research Assistant jobs in Alberta look for?

The top searched job categories for Computer Vision Research Assistant jobs in Alberta are:

Infographic showing various Computer Vision Research Assistant job openings in Alberta as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Research Assistant - Electrical Engineering

Edmonton, AB • On-site

University of Alberta
Education • 10K+ employees

Full-time

Posted 5 days ago


Job description

This competition is open to all applicants however; internal candidates and applicants who were former employees of the University of Alberta will be given priority consideration before external candidates. Please log in to verify your internal candidate status.

This position has a term length of 2 years from the date of hire.

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 University of Alberta, its buildings, labs and research stations are primarily located on the territory of Nehiyaw (Cree), Niitsitapi (Blackfoot), Metis, Nakoda (Stoney), Dene, Haudenosaunee (Iroquois) and Anishinaabe (Ojibway/Saulteaux), lands that are now known as part of Treaties 6, 7 and 8 and homeland of the Metis. The University of Alberta respects the sovereignty, lands, histories, languages, knowledge systems and cultures of all First Nations, Metis, and Inuit.

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.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

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.

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.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
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.
  • Bachelor's degree in Electrical Engineering or a closely related discipline is required. Preference will be given to candidates with a Master's degree and demonstrated expertise in automation.
  • 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.

Application Instructions

Click "Apply Now" to submit your resume.

This position is subject to all applicable terms and conditions of the collective agreement between the Governors of the University of Alberta and the Non-Academic Staff Association (NASA).

This position offers a comprehensive benefits package.

  • 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.