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Computer Science and Applied Mathematics● OpenPreview

PhD Position F/M Collusion in Agentic Systems

Investigate theoretical game theory and learning models of collusion in multi-agent autonomous systems.

Best for:Best for quantitative graduates with a strong foundation in probability, online learning, and game theory wishing to pursue a PhD.

Inria · Palaiseau, France · R1 · First-stage researcher
More professors at Inria
Game TheoryOnline LearningAgentic SystemsAlgorithmic CollusionFairness in Algorithms
Deadline
Nov 23, 2026
31 days
Funding
Salaried
€2.3k/mo
Start date
2026-12-01
Fixed-term
Location
Palaiseau
France

Overview

Inria Saclay-Île-de-France is offering a 3-year fully funded PhD position within the FairPlay research team, a joint initiative involving Inria, ENSAE, and Criteo. The successful doctoral candidate will perform theoretical analysis on collusion and strategic interactions in agentic systems using game theory and learning theory. The research aims to understand how autonomous agents interact, collaborate, or collude in online environments, drawing parallels to historical algorithmic pricing behaviors. The applicant is expected to conduct independent mathematical research, publish results in top-tier venues, and actively participate in team collaborations.

PhDGame TheoryOnline LearningMulti-Agent SystemsInriaFairPlayProbability

What you'll do

  • Conduct rigorous theoretical research on collusion and multi-agent interactions using game theory and learning theory
  • Investigate online learning algorithms and fairness properties in decentralized multi-agent environments
  • Document research findings through high-quality academic publications and conference presentations
  • Collaborate with permanent researchers and fellow PhD students within the FairPlay joint team across Inria, ENSAE, and Criteo
  • Engage in professional development, scientific events, and vocational training opportunities provided by the research center

Requirements

Degree required: Bac + 5 or equivalent Master's degree in mathematics, computer science, or a related quantitative field

Degree offered: PhD

Language: Proficiency in English or French

Instruction: English

Required skills
  • Strong theoretical background in mathematics, specifically probability and stochastic processes
  • Demonstrated knowledge of online learning and machine learning theory
  • Familiarity with game-theoretic modeling and strategic interactions
  • High motivation for academic research and interest in societal and security questions
Nice to have
Prior coursework or research experience in multi-agent reinforcement learning or algorithmic pricingBackground in algorithmic fairness or mechanism design
Eligibility
  • Must hold a recognized Master's degree or equivalent (Bac + 5) prior to appointment
  • Subject to security clearance regulations if assigned to a Restricted Regime Zone (ZRR)

Funding & terms

Type
Salaried
Amount
€2.3k/mo
Duration
3 years
Programme
Inria
Inria

How to apply

Deadline: 2026-11-23

Applications must be submitted online directly through the Inria recruitment portal. Candidacies submitted through alternative channels are not guaranteed to be processed.

Documents required
  • CV
  • Cover letter
  • Master's transcripts
  • Academic references
↗Apply on site

Contact

Patrick Loiseau· Thesis Director

patrick.loiseau@inria.fr

PL
Prof.
Patrick Loiseau
Centre Inria de Saclay
Lab
FairPlay
Inria
France
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