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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, C. (2023). Approche sur grilles parcimonieuses pour accélérer la méthode PIC (PhD, Toulouse 3). - Participate in the Exascale porting of 3D sparse-PIC code, including distributed parallelism
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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. You have experience in parallel computing, automatic performance tuning and optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven through
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into algorithms for the Lovász Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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and spatial distribution” in the Research Unit Coastal Seas and Society until the 30.11.2027 and a percentage of 100% (40h/week), subject to the funding of the project. Remuneration is paid in
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such as Chen Tinghuai, Tong Fu, Cheng Daijie, and Wu Zhongfu, the school pioneered fields like fault-tolerant computing and parallel distributed processing in China. It has produced a series of
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Responsibilities Research: Distributed graph Algorithms, streaming algorithms, sublinear time algorithms, massively parallel computing, writing scientific publications Teaching: support of bachelor level courses and
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. Peter Davies-Peck. The successful applicant will conduct research into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted