PhD Student

EURECOM is opening a PhD position in the Digital Security Department in the area of audio deepfake detection, speech forensics, and explainable artificial intelligence. The position is part of the Horizon Europe project DEFORM — Deepfake detection and Explainability using FOundation Representation Models — which aims to develop trustworthy AI-based forensic tools for the detection, explanation, and interpretation of manipulated or synthetic audio, image, and video evidence.

Robots, cars as well, are expected to become increasingly autonomous and efficient in terms of navigation, thanks to a range of sensors and the associated data processing based on artificial intelligence.

Communication networks, such as wireless ad hoc or cellular networks, are being increasingly used for computation purposes. Representative examples are over-the-air computing, computing via gossip motivated by sensor networks, holoportation, and interactive communication. When the functions of interest are linear, in special instances, there exist algorithms to efficiently solve the problem.

In the recent past, it has been established beyond doubt that by leveraging the unique quantum properties of sub-atomic particles, information can yield unparalleled advantages in various disciplines of information processing including computing, communication, cryptography and control. In fact, protocols such as quantum key distribution accomplish tasks hitherto believed impossible. Notably, these protocols have been demonstrated in practice and research is underway to scale them up. We are shaping up towards emergence of a new age in information processing.