Visual Analytics & eXplainable AI (Machine Learning) Intern-Remote

Description

The Visual Analytics & eXplainable AI (Machine Learning) Intern-Remote is available to Ph.D. – must be a current student or recent graduate (less than 1 year) majoring in computer science, electrical engineering or related fields. You must publication record in top machine learning and audio analytics venues (e.g. ICASSP, Interspeech, AAAI, ICML), experience on noise cancellation or source separation, and strong background in audio signal processing, machine learning and related fields to be considered for this position. As an intern, you will develop state-of-the-art machine learning based audio signal processing and analysis technologies and modules.