Department: Electrical, Computer and Biomedical Engineering
Position supervisor: Dr. April Khademi
Contract length: 1 year (with possibility of extension)
Hours of work per week: 36.5
About Toronto Metropolitan University (formerly Ryerson University)
At the intersection of mind and action, Toronto Metropolitan University is on a transformative path to become Canada’s leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do.
Toronto Metropolitan University welcomes those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Metis and Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority.
As an employer, we are working towards a people first culture and are proud to have been selected as one of Canada’s Best Diversity Employers and a Greater Toronto’s Top Employer for 2015, 2016, 2017 and 2018.
About the program/department/team
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.
The opportunity
IAMLAB invites applications for a one-year, full-time post-doctoral research position (with possible extension) to work on projects in collaboration with our industry partners and clinicians. Salary is competitive. The candidate will work on AI-based segmentation and quantification of digital pathology medical images for computational pathology applications. AI is supposed to make its first foray into medicine via digital pathology - help be part of that change!
Qualifications
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 are 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).
How to apply
Email your cover letter, CV and top two publications to Dr. April Khademi at [email protected]
Toronto Metropolitan University’s commitment to equity, diversity and inclusion
- We encourage all First Nations, Metis and Inuit peoples or Indigenous peoples of North America, to self-identify in their applications. If you are an Indigenous applicant and require support during the recruitment process, please reach out to James McKay, Indigenous HR Lead at [email protected].
- Toronto Metropolitan University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA), and aims to ensure that independence, dignity, integration and equality of opportunity are embedded in all aspects of the university culture.
- We will provide an accessible experience for applicants, students, employees, and members of the Toronto Metropolitan University community. We are committed to providing an inclusive and barrier-free work environment, starting with the recruitment process. If you have restrictions that need to be accommodated to fully participate in any phase of the recruitment process,please reach out to Human Resources:
- Current employees can contact HR by logging into AskHR to submit a request.
- External candidates who do not have TMU login credentials can contact HR by visiting torontomu.ca/human-resources/askhr/.
- All information received in relation to accommodation will be kept confidential.
