Stagiaire postdoctoral

Post-Doctoral - Chemical & Biological Engineering (Machine Vision)
Post-Doctoral - Chemical & Biological Engineering (Machine Vision)
Oon-Doo Baik and collaborators are currently seeking a postdoctoral fellow to join an exciting research project. The focus of this project is to develop a machine vision system to assess sprout damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected wheat.
The project is funded through the 2024-2027 from ADF Program. This is therefore a 3-year position, provided satisfactory performance during the probation period.
The primary responsibilities of the Postdoctoral Fellow will be to conduct research associated with the ADF program. This project involves investigating the development of an efficient classifier to correlate alpha-amylase activity with imaging attributes detected by a dual camera machine vision system. The post-doc will build the machine vision system for this project. Other duties include, but are not limited to, and presenting data, and writing scientific manuscripts. Collaboration with colleagues, keeping laboratory spaces clean and organized, assistance with laboratory procedures, data analysis, assistance with meeting organization and presentations to research project meetings.
Implementation and deployment of dual camera machine vision system consisting of a smart camera integrated with custom-designed state-of-the-art imaging software, lighting, display capabilities, and a sample presenter.
These attributes encompass germ dimensions and conditions, color pigments, variability in grayscale, and alterations in pixel intensity.
To construct an efficient classifier, such as algorithms or neural networks, that establishes a correlation between alpha-amylase activity and imaging attributes for various wheat varieties under examination.
A PhD degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Agricultural Engineering, or a related discipline, preferably with experience in machine vision fabrication, image processing, and AI algorithms or neural networks. Candidates in the final stages of their PhD studies will also be considered, as long as there is a clear timeline for completion (within two months for defense).
Programming or coding for imaging analysis and neural network/deep learning.
Publishing research results in reputable peer-reviewed scientific journals.
Demonstrated ability to use software for imaging analysis and neural network/deep learning.
To Apply:  Applications will be accepted by email and must include a cover letter, a statement addressing qualifications, and resume, and be submitted as a single PDF document.  Review of applications will start from April 25, and continue until a suitable candidate is found.
Department: Chemical & Biological Engineering
Full Time Equivalent (FTE): 1.Post-Doctoral - Chemical & Biological Engineering (Machine Vision)
Oon-Doo Baik and collaborators are currently seeking a postdoctoral fellow to join an exciting research project. The focus of this project is to develop a machine vision system to assess sprout damage of wheat. The project requires fabrication of the dual camera machine vision system based on artificial neural network/deep learning and quantification of alpha-amylase activity in sprout affected wheat.
The project is funded through the 2024-2027 from ADF Program. This is therefore a 3-year position, provided satisfactory performance during the probation period.
The primary responsibilities of the Postdoctoral Fellow will be to conduct research associated with the ADF program. This project involves investigating the development of an efficient classifier to correlate alpha-amylase activity with imaging attributes detected by a dual camera machine vision system. The post-doc will build the machine vision system for this project. Other duties include, but are not limited to, and presenting data, and writing scientific manuscripts. Collaboration with colleagues, keeping laboratory spaces clean and organized, assistance with laboratory procedures, data analysis, assistance with meeting organization and presentations to research project meetings.
Implementation and deployment of dual camera machine vision system consisting of a smart camera integrated with custom-designed state-of-the-art imaging software, lighting, display capabilities, and a sample presenter.
These attributes encompass germ dimensions and conditions, color pigments, variability in grayscale, and alterations in pixel intensity.
To construct an efficient classifier, such as algorithms or neural networks, that establishes a correlation between alpha-amylase activity and imaging attributes for various wheat varieties under examination.
A PhD degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Agricultural Engineering, or a related discipline, preferably with experience in machine vision fabrication, image processing, and AI algorithms or neural networks. Candidates in the final stages of their PhD studies will also be considered, as long as there is a clear timeline for completion (within two months for defense).
Programming or coding for imaging analysis and neural network/deep learning.
Publishing research results in reputable peer-reviewed scientific journals.
Demonstrated ability to use software for imaging analysis and neural network/deep learning.
To Apply:  Applications will be accepted by email and must include a cover letter, a statement addressing qualifications, and resume, and be submitted as a single PDF document.  Review of applications will start from April 25, and continue until a suitable candidate is found.
Department: Chemical & Biological Engineering
Full Time Equivalent (FTE): 1.The University is committed to employment equity, diversity, and inclusion, and are proud to support career opportunities for Indigenous peoples to reflect the community we serve. however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents will be given priority. We are committed to providing accommodations to those with a disability or medical necessity. We continue to grow our partnerships with Indigenous communities across the province, nationally, and internationally and value the unique perspective that Indigenous employees provide to strengthen these relationships. Indigenous Truth policy and Standing Committee in accordance with the processes developed to enact the policy.