Job Description

In this role, you will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with other European Union partners will contribute to the advancement of privacy-preserving artificial intelligence for the benefit of humanity.

What You Will Do:

  • Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning).
  • Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address specific challenges such as user heterogeneity, concept drift in human behavior, and the need for personalization.
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