CVPR Job Board - Posting Details

Title: Doctoral Position in Montreal: Deep Learning in Biological / Medical Image Analysis Posted: October 3, 2018
Company/Institution: McGill - ETS Montreal
Location: Montreal

Description: Applications are invited for a funded doctoral position in deep learning for biological/medical image analysis. The candidate will work under the supervision of Prof. Luke McCaffrey at McGill University’s Rosalind & Morris Goodman Cancer Research Centre, and of Prof. Eric Granger at the Laboratory of imaging, vision and artificial intelligence (LIVIA), ETS Montreal (University of Québec). We are looking for a highly motivated doctoral candidate who is interested in performing cutting-edge research in machine learning algorithms applied to the detection of breast cancer tumors based on pathology and biomarker analysis, with a particular focus on deep learning (e.g, convolutional and recurrent neural network) architectures, transfer and weakly-supervised learning. Prospective applicants should have: • strong academic record with an excellent MSc degree in computer science, applied mathematics, or electrical engineering, preferably with expertise in one or more of the following areas: machine learning, biological/medical image analysis, artificial intelligence, computer vision; • a good mathematical background; • good programming skills in languages such as C, C++, Python and/or MATLAB; knowledge of deep learning frameworks would be a plus. • Experience/knowledge in biology would be an asset

Application Instructions: Application process: For consideration, please send your CV, research statement, names and contact details of two references, transcripts, a link to MSc thesis, as well as relevant publications to: eric.granger@etsmtl.ca Further information : Luke McCaffrey http://mccaffreylab.mcgill.ca/McCaffreyLab.html Eric Granger http://www.etsmtl.ca/Unites-de-recherche/LIVIA


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