2020-03176 - Post-Doctoral Research Visit F/M Postdoc on decoding algorithms for quantum error correction

Contract type : Fixed-term contract

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit


This position is opened in the framework of the Inria-Microsoft joint lab and the work will be in collaboration with Microsoft Research. The candidate will be selected jointly by Inria and Microsoft.
This is an academic research position and the main work will be carried out at Inria Paris. The candidate is however expected to take the opportunity to have extensive visits at Microsoft (Paris and US).
The inria-Microsoft partnership is regularly extended, and in this context the position would typically be extended too, or a new call would be opened.



The aim of this research is to develop efficient decoding algorithms for quantum error correcting codes.



The work at inria will be supervised by Anthony Leverrier. On Microsoft side, the contacts will be Nicolas Delfosse (US) as well as occasionally Vivien Londe (France).

Main activities

The main activities would include:

- taking part in proposing concrete research directions within the research topic

- carrying out this research on your own

- presenting the results (conferences, journals, internally to the group)

- participating in the activities and discussions of the research team


Programming skills (Python, C).

Good knowledge of decoding algorithms for classical error correcting codes.

Benefits package

  • 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