Post-Doctoral Research Visit F/M privacy preserving federated learning with applications in med[...]

Inria, the French national research institute for the digital sciences; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institute in France is seeking a post-doctoral researcher specializing in privacy-preserving AI systems. The role involves collaborating on multiple European projects, developing algorithms for federated learning, and contributing to an open-source library. Candidates should possess a strong background in computer science, with research interests in privacy and cryptography. This position offers competitive benefits, including flexible working hours and substantial annual leave.

Prestations

Partial reimbursement of public transport costs

7 weeks of annual leave + additional RTT days

Possibility of teleworking

Professional equipment available

Access to vocational training

Social, cultural and sports events

Qualifications

• Strong research background in privacy, cryptography, or related subfields.
• Good communication and reporting skills, interested in collaboration.
• Proficiency in both English and French.

Responsabilités

• Collaborate with MAGNET team and project consortia.
• Research and prototype algorithms for privacy-preserving ML.
• Contribute to the project's open-source library.

Connaissances

Privacy-preserving AI systems

Cryptography

Machine learning

Statistics

Distributed systems

Formation

PhD in Computer Science or related field

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Country France Application Deadline 31 Dec 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 2024-07160 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This post-doctoral position will be supported by the HE Trumpet project, the HE Flute project and/or the PEPR IA Redeem project. While this position will be in the MAGNET team in Lille, we will collaborate with the several European project partners.

While AI techniques are becoming ever more powerful, there is a growing concern about potential risks and abuses. As a result, there has been an increasing interest in research directions such as privacy-preserving machine learning, explainable machine learning, fairness and data protection legislation.
Privacy-preserving machine learning aims at learning (and publishing or applying) a model from data while the data is not revealed. Notions such as (local) differential privacy and its generalizations allow to bound the amount of information revealed.

The MAGNET team is involved in the related TRUMPET, FLUTE and REDEEM projects, and is looking for team members who can in close collaboration with other team members and national & international partners contribute to one or more of these projects. All of these projects aim at researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants. The TRUMPET and FLUTE projects focus on applications in the field of oncology, while the REDEEM project has no a priori fixed application domain.

The start and end date of the offered post-doctoral positions can be negotiated, subject to the administrative constraints that they start at the earliest on 1/5/2024 and end before or around 30/04/2026 and that individual contracts last no longer than 2 years.

The recruited post-doc will collaborate with colleagues in the MAGNET team and the TRUMPET, FLUTE and REDEEM project consortia.

If the research features a prototype, it will contribute to the project's open source library.

We hope the post-doc can bring new expertise to the group and/or can help intensifying collaboration in the project consortium. He will collaborate closely with the other group members on realizing the research objectives of the project. Engineers in the team can support the prototyping and validation.

Possible Topics of Research

• Cryptography-based strategies to improve the security of privacy-preserving AI systems.
• Inference methods for privacy assessment and/or theory for statistical privacy in general
• Programming language strategies such as those relevant in compilers and interpreters
• Design and development of the TRUMPET/FLUTE platform and its supporting algorithms.
• Contribute to the research of the projects
• Collaborate with other MAGNET and project team members
• Collaborate with engineers to prototype proposed algorithms and validate them

Desired Skills

• Strong research background in the domain of the project (or at least a specific area such as privacy, cryptography, statistics, distributed systems, ...)
• Good communication and reporting skills, and an interest in collaborative work
• Proficiency in English

Specific Requirements

We are looking for a candidate with a strong background in computer science, with interest in the multiple challenges related to privacy and an approach involving several specializations (e.g., machine learning, security, cryptography, compilation,

Candidates should provide sufficient information to support their application, the page https://team.inria.fr/magnet/how-to-apply/ lists the minimum information desired (which is more than what is strictly required by the online submission platform

Languages

• FRENCH – Level Basic
• ENGLISH – Level Good

Additional Information

• 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 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

Gross monthly salary (before taxes): 2 788 €

Selection Process

• CV + application letter + recommendation letters + List of publications
• Academic transcripts, thesis, project report