Télécom ParisTech

Research chairs

Teaching and research Chairs are always supported by one or more companies and are regularly created by means of patronage. Partners sometimes include other schools of the Institut or ParisTech. Within their specific fields, these chairs develop research activities, new training courses and joint events – seminars, workshops and conferences.

Chairs are established for a specific duration – typically five years. They create links between the corporate sector and the school, thus stimulating innovation.

"Methods and Algorithms for Artificial Intelligence" Chair

The "Methods and Algorithms for Artificial Intelligence" Chair, supported by Fondation Mines-Télécom  is aimed at engineering students in the Data Science and Signal Processing for Artificial Intelligence study tracks and at students in the Big Data post-Master’s degree (Mastère Spécialisé). The joint activities will be based on Talan ’s recognised expertise in professions related to technological changes in companies, particularly in Big Data and Artificial Intelligence. Talan will submit case studies in artificial intelligence, participate in conferences, and take part in juries (Data Scientist Specialised Studies Certificate), help to supervise projects and internships, and will even be able to participate in the practical aspects of data processing in targeted courses. Talan has committed for a period of three years. Its sponsorship may extend to the provision of staff, as part of teaching and educational activities (simulated job interviews), as well as participating in various recruitment activities.

The Data Science Education Chair, which was launched on 25 October 2017, is Télécom ParisTech’s 2nd teaching chair and its 12th active chair. Led by Florence d’Alché-Buc, a professor at Télécom ParisTech, it meets an increasing demand from students wishing to broaden their skills by training in the analysis and major issues of Big Data which affect all areas of activity worldwide.


  • To develop data science education: to study the impact of Big Data on strategy and large companies’ business model transformation.
  • To expose students to and increase their awareness of the benefit of professions related to these strategic issues.
  • To put forward case studies developed from the reactions of the “digital native” generation.

Actions carried out within the scope of the chair

For students:

  • Practical case studies and projects contributing to training engineering students and Big Data Mastère Spécialisé® students.
  • Use of Hypercube software for training requirements.
  • Conferences and lectures by Big Data experts during the courses.

For Bearing Point:

  • Participating in a seminar on data science issues and prospects (employment and R&D).
  • Taking part in events and meetings in connection with issues related to the Chair.
  • Proposing topics and supervising internships and professionally-oriented theses.
  • Taking part in the Monitoring Committee set up by the Graduate School in the area of Data Science education.

Critical infrastructures cybersecurity

Continuing its policy of revitalizing the academic-research chairs, Telecom ParisTech is creating its eighth chair, Machine Learning for Big Data , led by Professor Stéphan Clémençon with an internationally renowned team in this field at the interface of mathematics and computer science.

Four prestigious firms are partners:
BNP ParibasCriteoPSA Peugeot CitroëenSafran
All four were motivated by the ambition of the work of the Telecom ParisTech team in the booming field of Big Data.

Machine learning or statistical learning is a body of very interesting algorithmic methods capable of producing automated decision-making procedures (forecasting, detecting anomalies, etc.) for companies.

Related to this chair, the Advanced Master in Big Data – management and analysis of big data was also created, aimed at training data scientists, which is currently a much sought-after skill in the digital world.

In December 2012, the Telecom ParisTech Interviews dedicated to Big Data took place, which brought hundreds of experts and decision-makers in the field together.

Innovation and Regulation of Digital Services

In 2007, the École Polytechnique, France Télécom Orange and Telecom ParisTech joined forces to create a Teaching and Research Chair for the “Innovation and Regulation of Digital Services”. The aim is to develop and coordinate high-quality theoretical analyses of the following issues:

  • Creation, production, development and consumption of intangible services in the information and communication technology sector.
  • Dynamics of innovation, principles and tools of regulation and their medium and long-term economic effects.

On these topics, the Chair will also have the authority to provide training courses for practitioners and professionals dealing with economic issues and involved in the regulation of the digital economy.

For further information:
Website of the Chair of Innovation and Regulation of Digital Services 

This Chair involves Telecom ParisTech, the University of Rennes 2 with Dassault systèmes, Orange Labs, PSA Peugeot Citroën and Ubisoft, with the support of DATAR (Delegation for Territorial Development and Regional Attractiveness - DATAR).

The challenge for this Chair is to understand and formalize the “logics”, archetypes and even the “grammar” of the imaginary environments that form part of the innovation and operating processes of certain technologies.

  • The Chair is dedicated to models and the modeling of representations (forms, invented worlds, characters/avatars, etc.) and to the role of narration in innovative and creative processes, particular in multimedia contexts and simulated worlds.
  • It is based on the establishment of a set of research problematics, concepts and methodologies with a view to developing formalizations, developments, applications and experimentations.
  • It is positioned “upstream” of innovation processes at the point where the intuitions, concepts, dreams and imaginations of engineers, decision-makers, customers, designers and different stakeholders merge and intermingle.