Machine Learning for Signal Processing

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.

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.

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

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.

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.