Research Assistant (SRI) - Physical Sciences - Casual 2026-18649 (2026-18649)
- Toronto, ON, Canada
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Original job description
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.
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
The successful candidate will develop advanced image acquisition, reconstruction and processing techniques for magnetic resonance spectroscopic imaging. Projects include: 1) correction of gradient imperfections for improved image reconstruction; and 2) development of neural network models for generating optimized radiofrequency (RF) pulses for MRSI.
Qualifications
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
The successful candidate will develop advanced image acquisition, reconstruction and processing techniques for magnetic resonance spectroscopic imaging. Projects include: 1) correction of gradient imperfections for improved image reconstruction; and 2) development of neural network models for generating optimized radiofrequency (RF) pulses for MRSI.
Qualifications
- Successful completion of at least one year of undergraduate studies in physics, mathematics or engineering
- Experience in scientific research is an asset
- Experience with computer programming in Python, Matlab or similar.
- Strong interpersonal, time management and organizational skills.
- Strong oral and written communication skills and attention to detail.
- Demonstrated proficiency in mathematics and physics
- Experience with machine learning, deep learning, and neural network models is an asset.
More about this job
Responsibilities
Develop advanced image acquisition, reconstruction, and processing techniques for magnetic resonance spectroscopic imaging. Work on correcting gradient imperfections to improve image reconstruction and developing neural network models to generate optimized radiofrequency pulses.
Requirements
Applicants must have completed at least one year of undergraduate studies in physics, mathematics, or engineering and demonstrate proficiency in mathematics and physics. Programming experience in Python, MATLAB, or a similar language is required; scientific research and experience with machine learning, deep learning, or neural networks are assets.
Skills
- Magnetic Resonance Spectroscopic Imaging
- Image Acquisition
- Image Reconstruction
- Image Processing
- Physics
- Mathematics
- Engineering
- Python
- MATLAB
- Scientific Research
- Machine Learning
- Deep Learning
- Neural Networks
- Radiofrequency Pulse Optimization
- Communication
- Time Management
Visa sponsorship
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Categories
- Science & Research
- Healthcare
- Engineering
- Technology
Keywords
- Magnetic Resonance Spectroscopic Imaging
- Image Acquisition
- Image Reconstruction
- Image Processing
- Gradient Imperfections
- Radiofrequency Pulses
- Neural Network Models
- Machine Learning
- Deep Learning
- Physics
- Mathematics
- Engineering
- Python
- MATLAB
- Scientific Research
- Research Hospital
- Health Care
- University Of Toronto