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Industrial PhD and Postdoc Positions in Machine Learning for Hearing Aid Systems

The projects will explore and design machine learning algorithms for processing potentially noisy sound signals in a hearing aid context, to increase speech intelligibility and sound quality, and to reduce listening effort.

The algorithms to be explored rely on hearing aid microphone signals, as well as additional multi-modal inputs, e.g., EEG/Ear-EEG, visual inputs, user body movements, and eye-tracking. We aim to develop algorithms which align with the user’s intent by continuously providing the sound signal of interest to the user.

PhD scholarship in Behavioural Experiments with Tradable Credits for Mobility – The Green Token Project – DTU Management

DTU Management’s Transport Division and the Joint Research Centre (JRC of the EU Commission would like to invite applications for a 3-year PhD position starting no later than August 1st, 2024.

The successful applicant will work on research focused on the understanding of detailed individual behaviour under Tradable Credit Schemes (TCS) and the design of such systems for equitable emission management in multi-modal travel settings.

Senior Data Scientist (f/m/d)

As a Senior Data Scientist at B&K Vibro you will be responsible for the data processing and state-of-the-art model development of our centralized cloud-based solution for predictive maintenance of industrial assets (BKV Beyond Platform).

Your mission:

• Develop and implement sophisticated machine learning/deep learning models for condition monitoring, predictive maintenance, and anomaly detection in industrial machinery and systems.
• Extend and maintain the value of B&K Vibro’s predictive maintenance cloud-based system (BKV Beyond platform).
• Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure the successful deployment and scaling of data science solutions.