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CNRS

Just Landed

Post-doctoral Researcher in PUF and TRNG Security CNRS in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 1, 2026

Country flag

Country

France

University

CNRS

Apply for this position

Keywords

Computer Science
Electrical Engineering
Materials Science
Hardware Security
Statistical Modelling
Physics
ML

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About this position

This postdoctoral project at CNRS focuses on the security evaluation of nondeterministic hardware primitives, especially Physical Unclonable Functions (PUF) and True Random Number Generators (TRNG) based on emerging spintronic technologies.

The recruited researcher will develop a predictive methodology to characterize and estimate the security, reliability, and robustness of these devices by combining physical device modeling, machine learning, and experimental validation. The work emphasizes the effects of process, voltage, and temperature variations, as well as aging and physical attacks, on the security properties of the primitives.

The research activities include stochastic modeling of spintronic variability, the use of surrogate and multi-fidelity learning approaches, quantitative assessment of entropy, uniqueness, temporal stability, predictability, and robustness, and experimental campaigns to compare model predictions with measurements. The project also involves studying resilience against machine-learning attacks, side-channel analysis, and fault injection, while building a reproducible toolchain for evaluating future hardware security primitives.

The position is based at the LIRMM within the Arthemis team, and is part of the Arsène project on sovereign hardware and software security solutions. The postdoctoral researcher will work in an environment that connects specialists in stochastic MTJs, hardware random number generators, and hardware security architectures across the laboratory and the broader project consortium.

Funding details

Available

How to apply

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