Prospective applicants should have: • strong academic record with an excellent Ph. 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.
• publication in one of the major conferences or journals in computer vision and machine learning.
The qualifying engineer will have the capability of integrating hardware, firmware, and software such as cameras, lasers, LEDs, IMUs on an embedded hardware platform such as NVidia Tegra/Jetson or Intel NUC.
Experience with C/C in Linux and parallel programming on GPGPU using Open CL or CUDA is required.
Please provide the following information in the email: Title, Organization and Location, Description of the job, Link or contact email. Mc Gill University and ETS Montreal|Canada Applications are invited for a funded post-doctoral position in deep learning for biological / medical image analysis.