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The Biomedical Imaging & Graphics (BIG) lab at the University of Saskatchewan, Canada, led by Dr. Ian Stavness, is hiring a fully-funded PhD Student or Post-doc in Computer Science / Electrical Engineering / Biomedical Engineering to work on deep learning in speech and neural signal processing. We plan combine powerful computer simulations of vocal tract biomechanics with neural and acoustic signals of speech production captured with state-of-the-art magnetoencephalography (MEG) measurement. The PhD/Post-doc will contribute to ArtiSynth (http://www.artisynth.org) an open source toolkit used by researchers around the world to create 3D models of tissue mechanics and fluid dynamics, as well as the development of deep learning architectures for brain/speech data.
We are searching for a bright and enthusiastic individual to join our team and make an expressive, real-time computer brain-speech interface a reality. The ideal candidate will have strong computer programming skills, experience with modern machine learning methods and a keen interest in biomechanics / biomedical / speech / brain research. Prior experience with deep learning, finite-element analysis, digital signal processing, biomechanics, software engineering, robotics, and/or controls is also desirable. The candidate will have opportunities to do an industrial internship with our partner on MEG sensing, as well as an academic internship with our collaborators at the University of British Columbia.
Interested applicants should send a letter indicating their interest and experience, a CV, and transcripts to email@example.com (please use subject line “Deep Learning Brain position”).