Inequality in TU matching

Level of qualifications required : Master's or equivalent

Fonction : Tempary Research Position

Level of experience : Recently graduated

About the research centre or Inria department

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 40 project teams , 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

Context

Ner recruited researcher will be hired by Inria and integrate the FairPlay team, ajoint team with Criteo, ENSAE, and Inria. The team is hosted at CREST and visits Criteo weekly and the candidate will be able to do the same and to interact with members of both institutions.

Assignment

Context

Matching algorithms are used in many practical applications such as college admission or job markets. In recent years, the scientific community started to investigate potential inequalities in the outcome of matching mechanisms, in particular stable matching, in the case of non-transferable utility models (matching without money). In particular, recent work show that the stable matching outcome may exhibit outcome inequality amongst demographic groups even in cases where individual rankings at each institution is perfectly fair.

Objectives

The primary objective of this project is to expand the aforementionned results to the case of transferable utility matching. This include defining the model, conducting the analysis theoretically and potentially through synthetic simulations if needed.

Collaborations:

The candidate will work with Patrick Loiseau and collaborator Bary Pradelski, but collaborations with other members of the FairPlay team are welcome.

Main activities

Main activities: Understanding the state-of-the-art, developing a novel model and proving theoretical properties of the outcome, developing and testing the solutions, communicating the work (papers, talks, etc.).

Skills

Technical skills and level required: BSc/M1 level in the fields mentioned above fields

Languages: English mandatory, French is not mandatory

Other valued appreciated: Interest in theory and applications to online marketplaces

Benefits package

• 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
• Theme/Domain : Optimization, machine learning and statistical methodsStatistics (Big data)(BAP E)

Instruction to apply

Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 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.

The candidate should be of BSc/M1-level in mathematics, computer science, economics, or a related field. (S)he should have a strong background in mathematics (probability in particular) and preferably in game theory, and be interested in marketplaces as well as in societal aspects. Programming capabilities will also be appreciated.