Post-Doctoral Fellow (SRI) - Physical Sciences - Temporary Full-Time 2026-18369 (2026-18369)

Job summary

Develop rapid, real-time, and patient-adaptive cardiovascular MRI techniques, including pulse sequences, advanced reconstruction, and AI methods, and collaborate with imaging scientists and cardiologists to deploy them clinically. Lead projects from study design through software development and data acquisition, and produce manuscripts, conference abstracts, and fellowship applications while developing academic leadership skills.

Job details

One of Canada's Top 10 Research Hospitals, Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually. Dr. Adrienne Campbell-Washburn’s lab at the Sunnybrook Research Institute, University of Toronto, is seeking a motivated postdoctoral fellow to lead projects in on rapid, real-time, and patient-adaptive cardiac imaging approaches. Post-doctoral fellows will join a dynamic and collaborative environment and candidates should have a strong desire to explore new technologies with the purpose of developing clinically deployable solutions. SRI is the research arm of Sunnybrook Health Sciences Centre (SHSC), a teaching hospital fully affiliated with the University of Toronto. It is a world-renowned research institute known for developing innovative diagnostic and therapeutic imaging technologies. SRI employs over 300 scientists and clinician-scientists, along with more than 1,300 research staff. Working with scientists are more than 600 highly skilled biomedical and research personnel, as well as over 450 postdoctoral fellows and other trainees. SRI possesses state-of-the-art imaging facilities and computational resources, including clinical and research-dedicated MRI systems, systems for MRI-guided focused ultrasound treatments, a combined X-ray / MRI suite dedicated to research on image-guided interventions, device development facilities, a research CT scanner, a polarizer for 13C MRI research, and a local HPC system. Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre, a teaching hospital fully affiliated with the University of Toronto. Research spans three Toronto-based campuses, eight programs and three scientific platforms. Our main aims are to understand and prevent disease, and to develop treatments that enhance and extend life. Our vision is to invent the future of health care. Each year, we conduct about $100 million in research across 500,000 square feet, including in the world’s first Centre for Research in Image-Guided Therapeutics. Summary Of Duties Develop new MRI techniques (pulse sequences, advanced reconstruction, AI) for cardiovascular imaging applications. Focus on rapid, real-time, and patient-adaptive imaging approaches. Collaborate with imaging scientists and cardiologists to develop and deploy new imaging methods. Project leadership from study design to software development to data acquisition to deployment. Write scientific manuscripts, conference abstracts, and fellowship applications. Develop key skills for academic independence, including grant writing, student supervision, and presentations at conferences. Candidates should have a strong desire to explore new technologies with the purpose of developing clinically deployable solutions Qualifications Successful completion of PhD (or PhD to be completed soon) in biomedical engineering, medical physics, computer science, or related discipline. Experience with MRI methods and/or medical image reconstruction is required. Experience in cardiac imaging and pulse sequence development on Siemens platform is preferred. Proficiency with programming languages (e.g., Python/C/C++/MATLAB and Git/Bash) and imaging software (e.g., 3D Slicer). Strong research record, including multiple first author papers and presentations. Strong interpersonal, time management and organizational skills. Strong oral and written communication skills in English and attention to detail

What you’ll do

Develop rapid, real-time, and patient-adaptive cardiovascular MRI techniques, including pulse sequences, advanced reconstruction, and AI methods, and collaborate with imaging scientists and cardiologists to deploy them clinically. Lead projects from study design through software development and data acquisition, and produce manuscripts, conference abstracts, and fellowship applications while developing academic leadership skills.

Requirements

A PhD, completed or nearing completion, in biomedical engineering, medical physics, computer science, or a related discipline is required, along with experience in MRI methods and/or medical image reconstruction. Candidates should have programming and imaging-software proficiency, a strong research record with first-author publications and presentations, and strong communication, organizational, interpersonal, and time-management skills; cardiac imaging and Siemens-platform pulse-sequence development are preferred.

Listed skills

• C++ · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• MRI Methods
• Medical Image Reconstruction
• Cardiac Imaging
• Pulse Sequence Development
• Python
• C
• C++
• MATLAB
• Git
• Bash
• 3D Slicer
• Artificial Intelligence
• Research Leadership
• Scientific Writing
• Grant Writing
• Student Supervision

Job areas

• Science & Research
• Healthcare
• Engineering
• Technology
• Education

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