Post-Doc (M/F) - Optimal mean estimation and tests under constraints with an Information Theoretic approach

Inria, the French national research institute for the digital sciences, France

Updated: 4 days ago
Location: Villeneuve la Garenne, LE DE FRANCE
Job Type: FullTime
Deadline: 15 May 2026

16 Apr 2026
Job Information
Organisation/Company

Inria, the French national research institute for the digital sciences
Research Field

Computer science
Mathematics
Researcher Profile

Recognised Researcher (R2)
Application Deadline

15 May 2026 - 00:00 (UTC)
Country

France
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

38.5
Offer Starting Date

1 Sep 2026
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Reference Number

2026-09960
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The objective is to carry out research work on problems of statistical estimation with the support of information theory. This research involves a literature review, mathematical analysis, and numerical simulations, as well as the writing of research papers and their possible presentation at international conferences.

Missions:
The postdoctoral researcher will join the Scool team for a period of 24 months. They will conduct research on problems of statistical estimation supported by information theory, as described below. This research work involves a literature review, mathematical analysis, and numerical simulations, as well as the writing of research papers and their possible presentation at international conferences.

Scientific summary and references:

At the core of scientific experimental studies lies the question of hypothesis testing: is a new medical treatment better than a placebo? Is a new algorithm more efficient on a computational task than the current state of the art? Due to random fluctuations, experiments must be repeated over several trials (to collect multiple samples) before making a decision.

For these applications, statistical methods for hypothesis testing and estimation are needed, with formal guarantees on their probability of error. These methods should also require as few trials as possible in order to be applicable in domains where collecting samples is time-consuming or costly. To minimize the number of samples, tests should adapt to observations as they are collected.

Main references:

  • Information Lower Bounds for Robust Mean Estimation (Degenne and Mathieu, 2025): https://arxiv.org/abs/2403.01892
  • The numeraire e-variable and reverse information projection (Larsson et al., 2025): https://arxiv.org/pdf/2402.18810

Collaboration:
The recruited researcher will work closely with Timothée Mathieu and Rémy Degenne, who will supervise the postdoc, as well as with the rest of the Inria Scool team.

The main activity will be fundamental research in mathematical statistics and some light experimentation on simulated data.


Where to apply
Website
https://jobs.inria.fr/public/classic/en/offres/2026-09960

Requirements
Skills/Qualifications

The postdoctoral researcher will need to be able to read and interpret the literature and write academic scientific papers in the domain. Once the results found and written, they will also have to be able to present the results clearly to the community.


Specific Requirements

The postdoctoral researcher will need to be able to both work autonomously and also with the team.


Languages
FRENCH
Level
Basic

Languages
ENGLISH
Level
Good

Additional Information
Benefits

 

  • 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 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
  • Social security coverage

 

2 788 € Monthly Gross Salary


Selection process

Please send your CV and cover letter.


Website for additional job details

https://jobs.inria.fr/public/classic/en/offres/2026-09960

Work Location(s)
Number of offers available
1
Company/Institute
Inria
Country
France
City
Villeneuve d'Ascq
Geofield


Contact
City

LE CHESNAY CEDEX
Website

http://www.inria.fr
Street

Domaine de Voluceau - Rocquencourt
Postal Code

78153

STATUS: EXPIRED

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