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

TN France; Villeneuve-d'Ascq; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An innovative research opportunity awaits in a dynamic team focused on privacy-preserving AI. This post-doctoral position offers a chance to delve into cutting-edge research, collaborating with European partners on projects that enhance security in machine learning. With a flexible working environment and generous leave policies, you will contribute to groundbreaking work in privacy, cryptography, and distributed systems. Join a forward-thinking organization that values your expertise and fosters professional growth while making significant contributions to the field of AI.

Prestations

Partial reimbursement of public transport costs

7 weeks of annual leave plus 10 RTT days

Flexible working arrangements

Access to professional equipment and resources

Participation in social, cultural, and sports activities

Vocational training opportunities

Social security coverage

Qualifications

• Strong research background in privacy, cryptography, and statistics.
• Good communication and reporting skills with interest in collaboration.

Responsabilités

• Collaborate with the MAGNET team and project partners on AI research.
• Contribute to open-source libraries and support prototyping efforts.

Connaissances

Privacy-preserving machine learning

Cryptography

Statistics

Distributed systems

Good communication skills

Proficiency in English

Description du poste

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Post-Doctoral Research Visit F/M privacy preserving federated learning with applications in medical domains, Villeneuve-d'Ascq

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Client:

INRIA

Location:

Villeneuve-d'Ascq, France

Job Category:

-

EU work permit required:

Yes

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Job Reference:

a4d8055d5ffd

Job Views:

1

Posted:

29.04.2025

Expiry Date:

13.06.2025

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Job Description:

This post-doctoral position is supported by the project and will be based in the MAGNET team in Lille, collaborating with European project partners.

While AI techniques are advancing rapidly, concerns about risks and abuses have led to increased research in areas such as privacy-preserving machine learning, explainability, fairness, and data protection legislation.

Privacy-preserving machine learning focuses on developing models from data without revealing the data itself. Concepts like (local) differential privacy help limit information disclosure.

The MAGNET team is involved in the TRUMPET, FLUTE, and REDEEM projects, aiming to develop algorithms for secure, privacy-preserving federated learning, even with potentially malicious participants. TRUMPET and FLUTE focus on oncology applications, while REDEEM has a broader scope.

The position's start and end dates are negotiable but should begin no earlier than 1/5/2024 and conclude by 30/04/2026, with individual contracts lasting up to 2 years.

The post-doc will work closely with colleagues in the MAGNET team and project consortia, contributing to open-source libraries if prototypes are developed. They will bring new expertise and foster collaboration within the team and project consortium, supporting research objectives and prototyping efforts.

Research topics may include, but are not limited to:

• Cryptography-based strategies for enhancing security in privacy-preserving AI systems
• Inference methods for privacy assessment and statistical privacy theory
• Programming language strategies relevant to compilers and interpreters
• Design and development of the TRUMPET/FLUTE platform and algorithms
• Research contributions to the projects
• Collaboration with team members and engineers for prototyping and validation
• Dissemination of research results

Desired skills include:

• Strong research background in privacy, cryptography, statistics, distributed systems, or related areas
• Good communication and reporting skills, with an interest in collaborative work
• Proficiency in English

Benefits

• Partial reimbursement of public transport costs
• 7 weeks of annual leave plus 10 RTT days, with options for exceptional leave
• Flexible working arrangements, including teleworking
• Access to professional equipment and resources
• Participation in social, cultural, and sports activities
• Vocational training opportunities
• Social security coverage

Gross monthly salary (before taxes): 2,788 €