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): 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

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)