Post-doctoral fellow in Information Theory for Artificial Intelligence - CDD 18 months

Who we are ?

Télécom Paris, part of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of France's top 5 general engineering schools.

The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.

We are looking for a Post-doctoral Fellow in Information Theory for Artificial Intelligence to join our COMELEC department at Télécom Paris. This exciting position is part of an interdisciplinary research environment where information theory meets advanced applications of artificial intelligence. The successful candidate will have the opportunity to conduct cutting-edge research on innovative models, while collaborating with academic and industrial experts, and to participate in the dissemination of his/her scientific results through publications and conferences.

SCIENTIFIC CONTEXT

The COMELEC department situates its action within the framework of the knowledge triangle which links education, innovation and research. As such, it works in the field of engineering training, continuing education and doctoral training; it also conducts academic research in the field of information technology; finally, it places its application studies and innovative developments in a cooperative approach with industry and emerging companies

Your main tasks will be to :

• To carry out research missions in the field of Information Theory for Artificial Intelligence
• To ensure supervision and tutoring missions
• To contribute to the reputation of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris

The ideal candidate will have a PhD or equivalent in the field of information theory, coding and machine learning. He/she should have a solid grasp of the mathematical tools used in the development of models for AI, as well as programming skills (C, Java, Python, TensorFlow/Keras). Experience in multidisciplinary work and fluency in English are also essential. Knowledge of the Bottleneck Information framework is a plus, as is fluency in French. Qualities such as the ability to work in a team, scientific dialogue and writing skills, as well as an aptitude for teaching, are essential for this position.

If you are passionate about artificial intelligence and information theory, have an innovative spirit and want to contribute to ambitious research projects in a high-level academic environment, then join us!

Why join us?
You'll be working in a fast-growing, pleasant, green and accessible environment (especially for people with disabilities) just 20 km from Paris (RER B and C suburban train lines, close to major roads, shared shuttle departing from Porte d'Orléans). You will benefit from :

• 49 days annual leave (CA + RTT)
  
• flexible working hours (depending on department activity)
  
• telecommuting 1 to 3 days/week possible
  
• 75% public transport pass reimbursement
  
• Proximity to numerous sports facilities, concierge service, underground parking, in-house catering, etc.
  
• Staff association at school and ministry level
  
• Good to know: our social security contributions are lower than in the private sector

Other information :
Application deadline: december 15, 2024
Job type : 18 months fixed-term contract
Job description here.

Scientific contact person: Olivier Rioul (olivier.rioul@telecom-paris.fr)

Administrative contact person: Hamidou Yaya Koné (hamidou.kone@telecom-paris.fr)

We recruit on the basis of skills, regardless of origin, age or gender,

and all our positions are open to people with disabilities.