Postdoctoral Fellow in Medical Imaging Machine Learning
Description:
This position is funded by a 2-year academic/industry collaboration between Sunnybrook Research Institute and Siemens. The successful applicant will have the opportunity to be the machine learning technical lead on exciting academic and industry initiatives using a brand new state-of-the-art PET/CT scanner (Siemens Biograph Vision). The successful applicant will have an opportunity to build a strong relationship with Siemens while publishing impactful academic papers in the medical imaging AI space. The researcher will develop entire machine learning pipelines from data ingestion, cleaning, processing, and inference. The researcher will have access to nuclear medicine physicians, radiologists, PACS administrators, and computer scientists.
- Requirements: PhD in computer or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image processing/medical image computing, machine learning, and/or computer vision
- Demonstrated record of high-performance scientific programming with python and/or C++
- Demonstration of personal ownership and technical leadership
- Ability to work in small and large teams, highly adaptable to changing strategies and responsibilities
- Great interpersonal communication, creative thinking, and problem-solving ability
- Demonstrated record of high-quality publications in the field
- Demonstrated analytical, verbal, and scientific writing skills
To Apply:
Please send the following documents to alexander.bilbily@sunnybrook.ca:
- CV
- Cover letter
- Three references
- Technical paper
We thank you in advance for your interest. Only those candidates selected for an interview will be contacted.
In accordance with Canadian Employment and Immigration guidelines, applicants must be eligible to work in Canada. Sunnybrook Research Institute is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.
Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, 2SLGBTQ+ persons, and all others who may contribute to the further diversification of ideas.
Sunnybrook Research Institute is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.
Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, LGBTQ persons, and all others who may contribute to the further diversification of ideas.
Please be advised that in order to be eligible for employment at Sunnybrook, all new hires must have received the full series of a COVID-19 vaccine or combination of COVID-19 vaccines approved by Health Canada (e.g., two doses of a two-dose vaccine series, or one dose of a single-dose vaccine series); AND have received the final dose of the COVID-19 vaccine at least 14 days ago. Medical exemptions or any other kind of requested exemption based upon the Hospital’s obligations pursuant to the Ontario Human Rights Code will be considered on a case-by-case basis.