PhD Position F/M Game Theoretical aspects of Incomplete Information in Machine Learning

Inria
September 30, 2022
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Negotigation
Working type:N/A
Job Ref.:N/A

2022-05329 - PhD Position F/M Game Theoretical aspects of Incomplete Information in Machine Learning

Contract type : Fixed-term contract

Level of qualifications required : Graduate degree or equivalent

Fonction : PhD Position

About the research centre or Inria department

The Inria Université Côte d'Azur center counts 36 research teams as well as 7 support departments. The center's staff (about 500 people including 320 Inria employees) is made up of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrative staff. 1/3 of the staff are civil servants, the others are contractual agents. The majority of the center's research teams are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Four teams are based in Montpellier and two teams are hosted in Bologna in Italy and Athens. The Center is a founding member of Université Côte d'Azur and partner of the I-site MUSE supported by the University of Montpellier.

Context

This PhD position is hosted by INRIA at Sophia Antipolis. The PhD degree is granted by the Université Côte d'Azur (UCA) and it develops within a close collaboration between INRIA, Princeton University, and the University of Sheffield (TUOS) in the context of the ANR-funded project PARFAIT. The position is supervised by Eitan Altman and Samir M. Perlaza.

Assignment

This project brings together tools from information theory, data sciences, and game theory to study the impact of information on decentralized decision making. There exist preliminary works involving these theories, but the simultaneous consideration of game and information theories to study machine learning systems is at this moment a largely uncharted territory. In a nutshell, the mathematical models existing in the realm of game theory neglect several aspects of practical machine learning systems. For instance, modelling the fact that some players might have access to different “amounts” of information due to noise or data acquisition imparments is largely neglected by most equilibrium concepts. In a nutshell, in most decision making processes, decisions are made with adversarial or partial information about the stochastic phenomena underlying the environment in which decision-makers interact. Therefore, tampering with data acquisition systems, due to addtive noisy or long delays, becomes an opportunity to steer the behavior of individuals and seek for particular outcomes that are not predicted by current game solutions. That is, information can be provided to an individual for increasing its benefit, but also, information can be withhold or distorted for penalizing individuals. Either way, this vulnerability to malicious or undesired influence represents a thread for any decentralized decision making process and thus, it must be understood and properly modeled.

Main activities

The PhD student will develop fundamental research using tools from information theory and game theory aiming at developping a mathematical theory for the study of machine learning systems withing the context of adversarial and incomplete information.

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
  • Social security coverage
  • Remuneration

    Duration: 36 months Location: Sophia Antipolis, France Gross Salary per month: 2051€brut per month (year 1 & 2) and 2158€ brut/month (year 3)

    General Information
  • Theme/Domain : Optimization, machine learning and statistical methods Statistics (Big data) (BAP E)

  • Town/city : Sophia Antipolis

  • Inria Center : CRI Sophia Antipolis - Méditerranée
  • Starting date : 2022-11-01
  • Duration of contract : 3 years
  • Deadline to apply : 2022-09-30
  • Contacts
  • Inria Team : NEO
  • PhD Supervisor : Medina Perlaza Samir / samir.perlaza@inria.fr
  • The keys to success

    Candidates are expected to have a strong background in mathematics. Previous knowledge on information theory, and game theory is desirable. Abilities in algorithm design and computer programming are also essential. The candidate must have a provable level of written and spoken english. Skills in french language are not required.

    About Inria

    Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

    Instruction to apply

    Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

    Recruitment Policy : As part of its diversity policy, all Inria positions are accessible to people with disabilities.

    Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.

    From this employer

    Recent blogs

    Recent news