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[PostDoc] OPTIMAL COLOR SELECTION ALGORITHMS FOR MULTIPLEXED IMAGE INSCRIPTION

23 Avril 2026


Catégorie : Postes Post-doctorant ;

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Start: between March and October 2026

Duration: 1 year, with the possibility to renew for 1 additional year

Location: Laboratoire Hubert Curien, Saint-Etienne, France, in close collaboration with Toppan Security.

The team is seeking a postdoctoral researcher with a strong background in computational and algorithmic methods applied to physical systems. The successful candidate will contribute primarily to the development and improvement of image multiplexing algorithms by working with experimentally acquired color images of laser-processed nanostructured films. Close interaction with the experimental team is required to ensure the relevance, robustness, and validation of the proposed computational approaches.

Candidate profile: 

PhD in one of these fields: applied mathematics, applied physics, computational color science, image science or data science, with a demonstrated interest in applying computational methods to physical or experimental systems.

Strong experience in scientific programming with Python, including developing algorithms and numerical methods.

Proven experience in two or more of the following areas: multi-objective optimization, image processing, computational geometry (convex hulls, optimization in high-dimensional spaces), data-driven approaches applied to physical systems, ability to work with experimental datasets (including imperfect, limited, or noisy data) and to develop methods adapted to such constraints.

Solid analytical skills and the ability to translate physical constraints and objectives into computational or algorithmic formulations.

Basic familiarity with optics, photonics, or color science, or the demonstrated ability and motivation to rapidly acquire the necessary domain knowledge.

Strong motivation for interdisciplinary research combining physics, algorithms, and applications.

ood communication skills, and the ability to clearly document code, algorithms, and experimental results.

Capacity to work in close collaboration with academic researchers from different disciplines and an industrial partner.

Proactive attitude, creativity, and interest in exploring non-standard solutions.

Information and application :

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