Institut Polytechnique de Paris
Ecole Polytechnique ENSTA ENSAE Télécom Paris Télécom SudParis

PhD in Computing, Data and Artificial Intelligence

With the digitalization of industry, the progress of Artificial Intelligence, the advent of robots and the questions related to the control and the protection of personal data, the domain « Computer science, data & AI » lies at the core of a major technological revolution of our societies. All sectors of economy and society are concerned : health, transports, energy, education, management, industry and agriculture.
PhD in Computing, Data and Artificial Intelligence

The PhD theses conducted within the domain Computer science, data & AI of the Doctoral School of Institut Polytechnique de Paris aim at advancing the state of the art in the whole domain, starting from the most fundamental questions of computer science, related to the efficient storage and the fast processing of massive data, up to the most complex systems, like cyber-physical systems or sets of machines able to understand their environment, to interact between them and with humans, to take decisions in an autonomous way and to explain them.

The PhD works address in particular questions about:

  • Computer architectures, programming languages, compilation, formal methods and proofs
  • Quantum information science
  • High performance computing
  • Virtualization
  • Cloud computing
  • Data mining
  • Representation of knowledge
  • Databases
  • Logic
  • Algorithms
  • Operational research
  • Optimization techniques
  • Graphs
  • Learning and processing techniques for images, videos, audios, texts
  • Distributed systems, embedded systems, real-time systems
  • Communication networks
  • Internet of things,
  • Robotics, autonomous systems
  • Human-machine interaction
  • Virtual / augmented reality
  • Ddata visualisation,
  • Social networks
  • Cyber-security
  • Control and protection of personal data.

These works have a strong technological impact thanks to the rich industrial environment of Institut Polytechnique de Paris.

  • Computer Science
  • Signal and Image Processing
  • Automatics and Robotics
  • LIX
  • U2IS
  • LTCI
  • Samovar
  • Ecole Polytechnique
  • ENSTA Paris
  • Telecom Paris
  • Telecom SudParis

Deep learning for multi-temporal analysis of remote sensing images, Rodrigo Daudt (Télécom Paris)

Human gesture recognition, Chuang Yu (ENSTA Paris)