Advancing Agri-Food tech with enhanced computer vision - ON-951
Project type: ResearchDesired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Anonymous
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Stoney Creek, ON, Canada; Halifax, NS, Canada; Toronto, ON, Canada
No. of positions: 1
Desired education level: Postdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: Yes
About the company:
A multinational food technology company with headquarters in Stoney Creek, Ontraio. The company provides AI powered technology for companies across the food and agriculture supply chain.
Describe the project.:
The enterprise is poised to integrate contemporary research centered on computer vision for practical application within the domains of food and agriculture. This initiative will concentrate on enhancing currently deployed Computer Vision and Machine Learning (ML) algorithms, in addition to assimilating the most recent research findings in the field.
Project Objectives:
- Enhancement of Current Computer Vision and ML Algorithms: This will be achieved through the adoption of a systems engineering methodology, aiming at refining the existing computational models to enhance their efficiency and effectiveness.
- Incorporation of latest Cutting-Edge Research in Computer Vision: The project intends to apply the latest advancements in computer vision research for commercial applications within the food and agriculture sectors.
Overall Aim:
The overarching goal of this project is to augment the company's existing solutions by leveraging advanced technological research in computer vision and machine learning. This endeavor seeks not only to enhance the performance and accuracy of current systems but also to position the company at the forefront of technological innovation within Food & Agriculture industry.
Required expertise/skills:
Computer Vision, Systems Engineering, Machine Learning, Computer Science
