Job Openings – PhD (2)
Geometry and Machine Learning for Medical Image Analysis
➤ TOPICS:
➤ (2) PhD,
➤ (2) Master's
➤ Geometric Deep Learning for Graph-based Analysis,
➤ Uncertainty-based Learning for Image Segmentation,
➤ Probabilistic Modeling for Image Registration,
➤ Active Learning in Medical Imaging
More available. All are in Medical Image Computing, an interdisciplinary field at the intersection of Machine Learning, Computer Vision, and Medicine.
Your research will focus on discovering new geometrical aspects of anatomy and datasets. You will develop a cutting-edge expertise in Machine Learning, Computer Vision, and Medical Imaging.
➤ POSITION:
Polytechnique Montreal is one of the three largest engineering schools in Canada. Part of the University of Montreal and associated with Mila (Quebec AI Institute), Polytechique offers a thriving research environment to conduct state-of-the-art research in multiple areas, including Machine Learning, Computer Vision and Medical Image Analysis. Your new team on Shape Analysis in Medical Imaging, led by Prof Hervé Lombaert, has also ample opportunities to collaborate with the best teams in North America and Europe.
Located in vibrant Montreal, you will experience a unique blend of North American and European culture with one of the lowest cost of living on the continent. Competitive tax-free stipends can be topped up with generous awards and scholarships.
Working language is English.
➤ EDUCATION:
- Graduate degree in Mathematics, Computer Science or related field,
(experience in Machine Learning, Computer Vision, Medical Imaging — a plus).
- Strong background in Mathematics and good programming skills.
- Strong track record of top publications for postdocs.
➤ APPLYING:
Sent to [herve.lombaert@polymtl.ca]:
- Short statement of interest (Why Research? Why Montreal?)
- CV listing publications and names of two references
