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CNRS

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Postdoctoral Researcher: Exascale Porting of a 3D Sparse-PIC Simulation Code for Plasma Modelling CNRS in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 18, 2026

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Country

France

University

CNRS

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Keywords

Computer Science
Plasma Physics
Software Engineering
Computational Science
Parallel Computing
High Performance Computing
Gpu Acceleration
Physics

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About this position

This postdoctoral position is centered on the MATURATION ANR project and on the numerical study of plasmas using sparse grids coupled with the Particle-In-Cell (PIC) approach. The recruited researcher will work on bringing an existing 3D sparse-PIC simulation code to exascale architectures, with a strong emphasis on scalability and performance across modern heterogeneous systems.

The project combines algorithmic and software-engineering challenges. The researcher will contribute to distributed-memory scaling, CPU optimization through vectorization, and continued GPU porting. A second major component is the exploration of portable C++ programming models such as Kokkos and StarPU, followed by comparative performance studies across implementations. The work will involve benchmarking on recent CPU and GPU technologies using local resources and access to national supercomputers.

The position is embedded in a collaborative research effort and requires close interaction with the other partners of the MATURATION project. The researcher will also help improve and share software engineering best practices around the codebase, publish the results, and support the handover of the code to the supervising team.

The host site is the Maison de la Simulation in Gif-sur-Yvette, a joint laboratory of the CEA, CNRS, Université Paris-Saclay, and Université Versailles Saint-Quentin. The laboratory specializes in high-performance computing and numerical simulation, with strong links to physical applications, parallel software engineering, programming models, visualization techniques, artificial intelligence, and quantum computing.

Funding details

Available

How to apply

Apply via the official job portal using the application link provided. Review the full advert and submit the required application materials through the online process before the deadline.

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