Research Assistant (SRI) - Physical Sciences - Casual 2026-18649

Sunnybrook Health Sciences Centre; Toronto; On-site; CAD 60,000 - 85,000; Full time

Job summary

Sunnybrook Health Sciences Centre, through Sunnybrook Research Institute, is seeking a candidate to develop advanced image acquisition, reconstruction and processing techniques for magnetic resonance spectroscopic imaging (MRSI). The role focuses on correcting gradient imperfections and building neural network models for RF pulse optimization.

The successful candidate will work across MRI research projects, collaborating with physics, mathematics and engineering teams while contributing to

Qualifications

• One year of undergraduate studies in physics, mathematics or engineering is required.
• Experience in scientific research is an asset.
• Experience with 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.

Responsibilities

• Develop advanced image acquisition, reconstruction and processing techniques for magnetic resonance spectroscopic imaging.
• Projects include correction of gradient imperfections for improved image reconstruction and development of neural network models for generating optimized RF pulses for MRSI.

Skills

Machine learning

Neural networks

Education

Undergraduate studies in physics, mathematics or engineering

Tools

Python

Matlab

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:

• 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.