Semester by research

The “semester by research” option offers a unique opportunity to experience research at CentraleSupélec, with world-renowned researchers in state-of-the-art laboratories. Two thirds of the semester hours will be devoted to research work, while the remaining third will consist in courses related to the research project.

There are 9 tracks to choose from (4 on Paris-Saclay campus, 3 on Rennes campus and 2 on Metz campus), each of which comprise several themes. The research topic will be defined in collaboration with the research supervisor, based on the student’s interest and the ongoing research conducted at the laboratory. Students will be advised and guided by their supervisors regarding the courses they should select from either the Engineering Challenge term program or the Academic term program.

In addition, students must take a French course.

The semester by research is credited with 30 ECTS (European Credit Transfer System), about two thirds of which concern their research work and the remaining third their coursework.

Paris-saclay campus

Available topics :

  • Spiking Neural System for Wideband RF Applications (research domains: Electrical/Electronic Engineering & Applied Physics)
  • Other topics available on request - please contact us

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More on the semester by research

  • Superconducting cable test station (research domains: Electrical/Electronic Engineering & Materials Science)
  • Other topics available on request - please contact us

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More on the semester by research

Rennes campus

Available topics :

Topics can be offered in the following areas:
  • Machine Learning;
  • Deep Learning;
  • Artificial Intelligence;
  • Data Mining;
  • Emotion analysis;
  • Audio, Image and Text analysis and synthesis.

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Topics can be offered in the following areas:
  • Embedded hardware security for IoT;
  • Intelligence for eco-flexible telecommunications systems;
  • Highly energy-efficient communications.

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  • Impact of risk in the dimensioning of a micro smart grid (research domains: Electrical/Electronic Engineering, Automation and Control, Signal Processing)
In addition, topics can be offered in the following areas:
  • Smart grids;
  • Smart buildings;
  • Learning Control;
  • Predictive Control;
  • Energy management systems

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Metz campus

Available topics :

  • Non-linear photonics;
  • Non-linear laser dynamics;
  • Optical information: guiding and storage or communication and computing;
  • Slow light;
  • Unconventional laser beam propagation.

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  • Data mining, data analysis:

 

 

    • Statistics;
    • Machine Learning;
    • Data Mining;
    • Data Science;
    • Deep Learning.

 

  • Big Data:

 

 

    • Hadoop;
    • Spark;
    • Map-Reduce algorithmics;
    • NoSQL Databases;
    • MongoDB;
    • PC clusters;
    • Scalability;
    • Performance metrics.

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