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PhD/Postdoc Position in Deep Learning with Brain/Speech Data

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.

Postdoc in Machine Learning

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.

Postdoctoral Researcher

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.

Postdoctoral research position: Acoustic cough detection and processing for healthcare

November 2017

Postdoctoral research position:

Acoustic cough detection and processing for healthcare

A postdoc position focussing on the automatic detection, analysis and classification of coughing in unconstrained audio for healthcare monitoring and disease screening is available in the Digital Signal Processing Group of the Department of Electrical and Electronic Engineering at the University of Stellenbosch, South Africa.

Technologists (m/f) for Speech Recognition Systems

Experience IT – Intuitive Technology: this principle guides our work at the European Media Laboratory. We are an IT enterprise, based in Heidelberg, Germany, focusing on the automatic conversion of speech into text for a variety of markets. Speech technologists and IT specialists research, develop and use state-of-the-art large-vocabulary automatic speech recognition technologies, including deep learning, to convert spoken audio into structured textual data and actions.

Senior Data Scientist

Job Opening – Darmstadt (Frankfurt area)/Germany, December 2016

AGT is all about striving for the best Analytics for the Internet of Things!

Our teams are professional and fearless – our working environment is energized, sweeping and demands use of cutting edge technology. We are never behind. Out of the box thinking and creativity in everything we do. Being always in search of new ideas turning into great new features and products, we would love to meet and welcome team members joining the ride and driving us forward. We are looking for

Two Full Time PhD Positions in Biomedical Engineering at the University of Rhode Island

The Neural Processing and Control Lab (NeuralPC Lab) at the University of Rhode Island (URI), Department of Electrical, Computer, and Biomedical Engineering (ECBE) has two PhD position openings in the field of neural signal processing and Brain-Computer Interface (BCI) systems. The position offers a competitive stipend and tuition waiver for the graduate assistants.  The nature of this position will provide the graduate students with opportunities to work on multidisciplinary collaborative projects.

Technologists (m/f) for Speech Recognition Systems

Experience IT – Intuitive Technology: this principle guides our work at the European Media Laboratory. We are an IT enterprise, based in Heidelberg, Germany, focusing on the automatic conversion of speech into text for a variety of markets. Speech technologists and IT specialists research, develop and use state-of-the-art large-vocabulary automatic speech recognition technologies, including deep learning, to convert spoken audio into structured textual data and actions.

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