The Faculty of Information Technology and Electrical Engineering, at the Norwegian University of Science and Technology (NTNU) has one Postdoctoral Research vacancy at the Department of Electronic Systems (IES). The postdoctoral position is for two (2) years.

Project Description

Tenure-track Assistant Professor in Information Engineering

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 Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.

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.

Position description: The Signal Acquisition Measurement and Processing Lab at the Technion welcomes applications for a postdoctoral position with focus on deep learning. Specifically we are interested in Ph. D. graduates with profound and solid knowledge in both signal processing and modeling and deep learning techniques to work on projects which are in the interface between the two approaches. Good theoretical and abstract thinking is required. The balance of work between theory and practice will vary on project-basis, and a successful candidate should be proficient in both aspects.

Position description:

The Idiap Research Institute together with a global industry partner, leader in Consumer Electronics, invite applications for two post-doctoral positions in speech and speaker recognition for HMI devices. The positions are funded for two years by the Swiss Commission for Technology and Innovation (CTI), enabling a collaboration between Idiap and an innovative product company.