Postdoctoral or Engineer Position: Integrating Differential Privacy in PostgreSQL

When:
30/04/2025 – 01/05/2025 all-day
2025-04-30T02:00:00+02:00
2025-05-01T02:00:00+02:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : INSA Centre Val de Loire
Durée : 24
Contact : cedric.eichler@insa-cvl.fr
Date limite de publication : 2025-04-30

Contexte :
INSA Centre Val de Loire is offering an opportunity for either a Postdoctoral Researcher or Engineer to join the Petscraft project-team joint with Inria Saclay. We welcome applications from candidates with
diverse profiles and backgrounds, as we believe that both types of expertise can bring valuable contributions to our project. The specific responsibilities, objectives, and scope of the position will be tailored to
the selected candidate’s qualifications, skills, and experience. We are looking for the successful candidate
to start as soon as possible, but we are flexible with the start date to accommodate the right individual’s
availability.

This position is part of the project ”Making PostgreSQL Deferentially Private for Transparent AI” funded by the french national research agency ANR. The project involves several French research teams working on data protection, from Inria, universities and engineering schools, as well as Dalibo, company expert in PostgreSQL and developing PostgreSQL Anonymizer. The general objective
of the project is to propose, implement within PostgreSQL and evaluate a privacy preserving approach for interpreting SQL queries in the sense of differential privacy (DP). These queries will range from the
Select-Project-Join-Aggregation (SPJA) form to the export of releases (DUMP) of a part of the database in order to be able to work on it as if it contained no sensitive data. Specifically, the main objective is
to extend the anonymization models already integrated in PostgreSQL Anonymizer (pseudonymization, k-anonymization and addition of noise) to other models verifying DP, as well as DP existing and novel relaxations.

Sujet :
During the first year, the successful candidate will tightly collaborate with Dalibo to extend PostgreSQL Anonymizer with the most promising (in terms of utility) approaches to answering SPJA
queries that guarantee DP (or similar models, such as local differential privacy). The main lock of this task is to design this DP mechanism as an extension of the SQL grammar in order to qualify a specific
query or function with DP metadata.
Possibles objectives for the second year are varied and can be tailored to the selected candidate, with a wide range between implementation and theory. They may include more theoretical contributions, e.g.
regarding novel DP relaxations or the impact of semantics and schema on DP. In terms of implementation, they could include, for example, the development of demonstrators, validation and evaluation platforms
for the novel models proposed in the project.

Profil du candidat :
Candidates must hold either a PhD or a master (or equivalent) in
Computer Science

Formation et compétences requises :
The following skills are appreciated:
• Knowledge in privacy & anonimization.
• Knowledge & experience in databases and database management systems, particularly SQL and
PostgreSQL.
• Proficiency in programming.

Adresse d’emploi :
Either Inria Saclay centre, Turing building in Palaiseau or INSA CVL campus Bourges.

Document attaché : 202412131026_Postdoc_or_eng_position_DIFPRIPOS.pdf