Post Doctoral Fellow
Saturday 26th October 2019
University of Calgary
Area: NeuroImage Analysis Using Machine Learning
Duration: 2-3 years
Start Date: Early 2020
The successful applicant will conduct cutting-edge research with leading researchers at the Department of Clinical Neuroscience, Calgary, AB, Canada, in the field of medical image analysis and machine learning. The successful applicant will be responsible for developing advanced image processing methods to automatically interpret CT, CTA, and MR images of stroke patients for computer-aided diagnosis and decision making. The candidate will also gain opportunities to directly interact with the world-class neurologists and radiologists for problem definition, solution development, and validation. In particular, the candidate can access to a large amount of multi-modality imaging data of more than 5,000 stroke patients with expert annotations, as well as free access to advanced research computing cluster, allowing for developing a large scale deep learning model.
We encourage excellent scholars to apply, who have or will have degrees from computer science, electrical engineering, bio-medical engineering, medical biophysics, or an engineering related discipline with an inter-disciplinary background in the following areas: image processing, computer vision, and pattern recognition. They should have a proven record of excellence and publications in medical image analysis, innovative thinking, real-world problem solving.
About Calgary Stroke Program,
The Calgary Stroke Program is recognized as one of the leading programs in North America for stroke treatment and research. Within the Department of Clinical Neurosciences in Calgary, Alberta Health Services, and the University of Calgary, the Program works alongside other departments to provide quality acute, rehabilitative, and preventative care to people with stroke and their families. Through collaborations with regional, provincial, national, and international partners, the program is striving to advance stroke care in Alberta and beyond. As a leading PI, Dr. Bijoy Menon is an expert in acute stroke imaging and holds the current Heart and Stroke Foundation/University of Calgary Professorship in Stroke Imaging. He has published extensively (in high impact journals like New England Journal of Medicine, JAMA, Lancet, Lancet Neurology, Circulation, Annals of Neurology, Radiology and Stroke) on using imaging to understand stroke pathology and on patient selection. He has led large multi-center imaging studies (PRoveIT & INTERRSeCT; CIHR funded) in patients with acute ischemic stroke. Collateral imaging techniques that Dr. Menon co-developed were used in the landmark ESCAPE trial. Dr. Menon has developed a unique research environment within the Calgary Stroke Program that uses Artificial Intelligence technique using some of the largest imaging datasets anywhere to develop innovative solutions for image interpretation.
Interested candidates should submit, via email: 1) a cover letter, 2) a curriculum vitae, 3) a maximum of 3 reprints of their most relevant publications,
|Organization||University of Calgary|
|Location||Department of Clinical Neuroscience and Radiology|
|Title||Post Doctoral Fellow|