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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.
Data Engineer for Condition Monitoring and Machine Optimization
Do you want to play a key role in improving performance in the pharmaceutical and industrial manufacturing? Are you passionate about finding patterns in data?
You will implement our CATCH.AI data platform at our customers’ production sites and help them turn data into tangible actions and value.
You are the expert on what makes you happy and efficient. So, whether that entails a 4-day work week or working in the evening or from home that is simply how you will be working.
Vibration Data Scientist
Imagine a future where your expertise in vibration data science plays a pivotal role in the sustainable operation of offshore wind turbines.
Join us in this role where you’ll drive the development and implementation of cutting-edge vibration diagnostic algorithms and data models, ensuring the reliability and efficiency of our global wind turbine drivetrains.
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.
