Postdoc (M/F)
New
- Researcher in FTC
- 24 months
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Département d'Informatique de l'Ecole Normale Supérieure
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
75013 PARIS
Contract Duration
24 months
Date of Hire
26/10/2026
Remuneration
About 3500 euros per month before taxes and ss
Apply Application Deadline : 28 September 2026 23:59
Job Description
Missions
The postdoctoral project focuses on research in mathematical optimization and its applications to machine learning and artificial intelligence, with a particular emphasis on the development and analysis of efficient numerical methods for training large-scale models. The work will focus notably on techniques for accelerating the convergence of optimization algorithms, whether through accelerated gradient methods, stochastic or adaptive approaches, or preconditioning strategies, in order to improve computational performance in very high-dimensional settings. A significant part of the project will concern the theoretical analysis of the convergence properties and algorithmic complexity of these methods, particularly in the non-convex settings encountered in deep learning, with the goal of better understanding the trade-offs between accuracy, execution speed, robustness, and computational cost. These theoretical developments will be complemented by extensive numerical experiments on contemporary artificial intelligence models, including the study of large-scale performance, distributed computing challenges, and constraints related to memory and energy efficiency.
Activity
The postdoctoral researcher will work within a research environment combining applied mathematics, optimization, statistical learning, and scientific computing. They will benefit from considerable scientific autonomy in shaping research directions in line with their own interests and expertise, while actively contributing to defining the project's priorities. The position offers the opportunity to publish in leading journals and conferences, to co-supervise PhD and master's students, and to develop collaborations with other researchers in the lab or at partner institutions. Prior research experience (a PhD) in optimization, applied mathematics, machine learning, or a related field is required, along with strong proficiency in scientific computing tools. This position represents an opportunity to contribute to fundamental advances while developing tools directly relevant to modern applications of artificial intelligence.
Your Profil
Skills
PhD in applied mathematics or computer science
Your Work Environment
The postdoc will be attached to DIENS and hosted by INRIA in the 13th district.
Constraints and risks
No risk
Compensation and benefits
Compensation
About 3500 euros per month before taxes and ss
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR8548-ALEDAS-007 |
|---|---|
| CN Section(s) / Research Area | Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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