PamiTC Job Board - Posting Details

Title: Postdoctoral fellowship in semantic medical image segmentationPosted: 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): Several relevant publications can be found here:

Application Instructions: For consideration, please send a resume, names and contact details of two references, and two representative publications to Prof. Ismail Ben Ayed ( and/or Prof. Christian Desrosiers (