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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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physics (especially optics), numerical methods, and basic knowledge of material science. It is meriting to have one or more of the following skills/qualities: experience and/or thorough understanding
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studied. In parallel, mechanical tests at the material scale, conducted by project partners, will be modeled using finite element methods (Cast3m software). These models will then be used to reproduce
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relevant to the project, such as physics. Fluency in English, both in oral and written forms, is mandatory. The candidate should have a strong interest in physics (especially optics), numerical methods, and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 hours ago
28 Aug 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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storage, research data management and training services Providing or arranging training for researchers in specialized areas of Advanced Research Computing, e.g. Big Data processing, parallel programming