| | Title: Postdoctoral fellowship in semantic medical image segmentation | Posted: January 26, 2016 | | Company/Institution: ETS (U. of Quebec) | | Location: Montreal, Canada |
Description: Applications are invited for a postdoctoral fellowship at the ETS (U. of Quebec), Montreal, Canada. The candidate will work at the Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA); see the links below for LIVIA and relevant publications. The position is available immediately, and will focus on the investigation and development of learning- and optimization-based techniques for semantic medical image segmentation.
The successful candidate is expected to have:
• A Ph.D. in computer science, applied mathematics, or electrical/biomedical engineering, preferably with emphasis on one of the following areas: machine learning (e.g., convolutional neural networks), computer vision (e.g., MRFs/CRFs), medical image analysis, and/or state-of-the-art optimization techniques for computer vision;
• A track record of publications in the top journals and/or conferences in computer vision, medical image analysis and/or machine learning;
• A solid mathematical background; and
• Solid programming skills in languages such as C, C++ and/or MATLAB. A GPU programming experience is a plus.
Laboratory for Imaging, Vision and Artificial Intelligence (LIVIA):
http://www.etsmtl.ca/Unites-de-recherche/LIVIA/accueil?lang=en-CA
Several relevant publications can be found here:
https://scholar.google.com/citations?user=29vyUccAAAAJ&hl=en
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Application Instructions: For consideration, please send a resume, names and contact details of two references, and two representative publications to Prof. Ismail Ben Ayed (ismail.benayed@etsmtl.ca) and/or Prof. Christian Desrosiers (christian.desrosiers@etsmtl.ca) |
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