Bridging the gap between medicine and technology, biomedical engineering is where cutting-edge innovations are changing the face of health care.
As a postdoctoral fellow in the Department of Electrical, Computer, and Biomedical Engineering, you will work alongside a team of distinguished faculty members in biomedical research and development.
Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics, and laboratory-grown tissues and organs. \
Our interdisciplinary program will place you at the forefront of technological advancement and biomedical discovery, helping health practitioners enhance patient care with faster diagnoses and more effective therapies that lead to improved outcomes.
Toronto Metropolitan University’s Electrical, Computer, and Biomedical Engineering Department is a collaborative program that prepares individuals for careers in engineering and provides them with the opportunity to advance their own research.
The program is supported by clinical collaborations, through longstanding partnerships with top Toronto hospitals such as St. Michael’s Hospital or University Health Network, industrial partners, and our innovation-focused mindset.
Requirements & Skills:
The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area.
The successful candidate is expected to develop/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python.
They are also expected to write publications, liaise with collaborators, work with a team of graduate and undergraduate students, and other duties related to academic scholarship.
Candidates should have a strong background in software development, image analysis, and machine learning applications involving images using Python, C++, OpenCV, Matlab, and other related frameworks.
Experience with state-of-the-art AI systems such as deep learning and convolutional neural networks, image processing, medical imaging, databases, web technologies, and application integration using APIs/SDKs is a definite asset.
The candidate should have an established track record of publishing in key journals, conferences, and workshops. Ideally, they will also have experience with software management/version control (git).
