Ultrasound is a safe, fast and cost-effective imaging modality. Despite being one of the most popular imaging modalities, its potential is far more. Specifically, pre-beamformed channel ultrasound radio-frequency data (hereafter referred to as channel data) is not suitable for visualization, and as such, is beamformed to the familiar gray-scale ultrasound images. This conversion, however, is lossy and destroys most of the information in the channel data. In addition, current processing techniques that utilize temporal ultrasound data are limited, despite the increasingly high frame-rate capability of ultrasound. To better exploit channel data, a line of my research focuses on casting three image reconstruction problems of (1) beamforming, (2) deconvolution and super-resolution and (3) quantitative ultrasound (QUS) as inverse problems. We then develop novel deep learning (DL) techniques that exploit physics and unsupervised learning to solve the inverse problems in a data-efficient manner. A framework for solving inverse problems can also pave the way for extracting even more information from the channel data, such as going beyond the physical diffraction limit of ultrasound.
Academic qualifications required
PhD in Electrical and Computer Engineering, Computer Science or Biomedical Engineering.
Excellent publication record.
Excellent mathematical and programming skills.
Familiarity with medical imaging is not necessary but an asset.
Female and other underresented applicants are especially encouraged to apply.
Applicants must not currently hold a postdoctoral appointment at Concordia
Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
Please include the reference number with your application
One to three (1-3) page research statement demonstrating fit with the program described above
Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages)
Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Hassan Rivaz
The prestigious two-year Horizon Postdoctoral Fellowships are valued at $50,000 per year plus benefits and full access to Concordia’s services, including GradProSkills.
Concordia University is a vibrant research and teaching environment, with state-of-the-art research facilities and many research centers. Concordia is located in Montreal, Canada, a diverse and creative city, often ranked as offering one of the best quality of living experiences in North America.
Concordia University is committed to Employment Equity and encourages applications from women, Aboriginal Peoples, visible minorities, ethnic minorities, and persons with disabilities.