Post-doctoral fellow in Active Learning

Job description

Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of the top 5 French general engineering schools. An institution on a "human scale" but with a strong international component, Télécom Paris is recognized for its proximity to companies. This public school guarantees excellent employability in all sectors and is the leading engineering school for the entire digital vertical (from hardware layers to uses).

With its excellent teaching and innovative pedagogy, Télécom Paris is at the heart of a unique innovation ecosystem, based on interaction and the importance of project mode in its training on the one hand, and its interdisciplinary research on the other. Its teacher-researchers are affiliated with two research laboratories: on the one hand, the LTCI laboratory, which is presented by the HCERES as a flagship unit in the field of digital sciences with remarkable international influence; and on the other hand, the i3 laboratory, Interdisciplinary Institute of Innovation (I3 - UMR 9217 of the CNRS), which pursues a multidisciplinary research program focused on innovation in the framework of a collaboration with the École Polytechnique and Mines ParisTech

Based in Palaiseau, at the heart of the Institut Polytechnique campus alongside the École Polytechnique, ENSTA, Télécom Sud Paris and ENSAE, Télécom Paris also has a Paris-based incubator at the heart of the French start-up ecosystem.

Télécom Paris is positioned as an open-air laboratory for all the major technological and societal challenges: artificial intelligence, quantum computing, IOT, cybersecurity, large-scale digital equipment (Cloud), 5G/6G, Green IT.


SCIENTIFIC CONTEXT

The Image, Data and Signal Department (IDS) is one of the four teaching and research departments of Télécom Paris. The research activity of the IDS department is done at the Laboratory Treatment and Communication of Information (LTCI).

The mission of the IDS department is teaching and research in the field of signal, image and data processing.Its objectives are:

  • Modeling, study, analysis and interpretation of signals and images in all its forms (audio, video, multimedia, satellite images, biomedical images, ..).
  • The study and development of algorithms and statistical processing methods for learning, optimization and data analysis.

The Department Image, Data, Signal is structured around three teams: Signal, Statistics and Learning, Multimedia and Image, Modeling, Analysis, Geometry, Synthesis.

The skills of the Signal, Statistics and Learning (S2A) team are organized in four strategic themes, all relating to data analysis:

  • 1. Machine learning
  • 2. Probability and statistics
  • 3. Signal processing and audio data analysis

4. Automatic analysis of social signals


MAIN MISSIONS OF THE POSITION

  1. Carry out a research activity in the domain Machine Learning
  2. Participate to teaching.supervision activities: 40h per year

  3. Participate to the notoriety of Telecom Paris, of Institut Mines-Télécom and of Institut Polytechnique de Paris



MAIN ACTIVITIES


1. Participate to research activities in the domain Active Learning

2. Participate to supervision/teaching activities in Machine Learning

3. Participate to the notoriety of Telecom Paris, of Institut Mines-Télécom and of Institut Polytechnique de Paris

- Publish the results obtained in journals/conferences

- Present the results obtained in seminars/workshops/conferences





Job requirements

SKILLS


Essential Skills, Knowledge and Experience:

•   Publications in Reinforcement/Machine Learning

•   English

  • Python


REQUIRED QUALIFICIATIONS

Level of education and/or experience required:

Ph.D. or equivalent 

ADDITIONAL INFORMATION
Contract type : CDD Post doctoral
Contract duration: 18 months or more

Location: Télécom Paris, 19 Place Marguerite Perey, Palaiseau 91120

HOW TO APPLY

The application include:

  • a detailed CV
  • a letter of motivation
  • any element considered useful for the examination of the application

Deadline for application : july 01, 2022