2021-03809 - Post-Doctoral Research Visit F/M Postoctoral position on Stochastic Networks
Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Niveau de diplôme exigé : Thèse ou équivalent

Fonction : Post-Doctorant

Contexte et atouts du poste

The postdoctoral position is part of of an international project between INRIA Paris and Skoltech in Moscow.

The project is dedicated to research on stochastic networks.

Research will be conducted at INRIA in conjounction with the ERC Nemo program.

Candidates pre-selected by the teams will be assessed by the International Relations Department and evaluated by scientific experts.

Applications must be submitted to postdoc-dri@inria.fr before July 10, 2021 with all of the following documents:

- The completed summary sheet

- Research project including subject title, research program, work plan and planned visits during the postdoc, the duration of the post-doc (between 12 and 24 months) and the desired starting date (default start date is November 1st, 2021 and not later than January 1st, 2022)

- Detailed CV with a description of the PhD and a complete list of publications with the two most significant ones highlighted

- Motivation letter from the candidate

- 2 letters of recommendations

- Letters of support from the host Inria research team (francois.baccelli@inria.fr) and from the host international partner, Prof. S. Shlosman of Skoltech : shlosman@gmail.com



Mission confiée

Produce first class research.

Principales activités

Postoctoral position on Stochastic Networks

The research will be focused on probability theory with a special emphasis on mean-field techniques. Here are the two main topics to be developed: 1) new mathematical approaches for the proof of the Poisson Hypothesis, which is instrumental in the context of replica mean field techniques; 2) applications to in a variety of stochastic networks, in particular communication networks, in computational neuro-science in deep learning, or in the stochastic modeling of epidemics. The two topics are linked. In many practical problems, the Poisson Hypothesis is assumed or conjectured. The development of generic tools for this question is hence essential. The first topic will lead to a variety of computational results on networks which are typically not tractable otherwise. The second topic deals with the limiting behavior of this class of mean-field models.


  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training