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called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly
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digital de señal y lógica de control en tiempo real. - Optimización de uso de recursos, consumo energético y rendimiento temporal (timing closure. Implementation and optimization of hardware logic using
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Toward Scalable and Sustainable AI Across Heterogeneous Resources Supervisor: Frédéric Giroire, CNRS Director of Research, 3IA chair holder. https://www-sop.inria.fr/members/Frederic.Giroire
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(https://www.ukw.de/en/research-hudecek-lab/home/) under Prof. Dr. M. Hudecek and with the Chair of Computational Biology of Spatial Biomedical Systems (https://www.med.uni-wuerzburg.de/en
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numerical modeling using CFD and FEM techniques, the use of generative CAD tools and shape optimization methods, as well as the integration of experimental and structural measurements with simulation data
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optimization-based network partitioning point to scalable, communication-aware control designs; stochastic MPC and co-design studies demonstrate methods for handling uncertainty and jointly optimizing assets and
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, machine learning techniques, and domainspecific scientific knowledge. This role is responsible for processing and analyzing complex datasets, developing and optimizing machine learning models, and
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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision
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services inherent to the deployed technology, should be considered in a holistic approach. While optimization methods have been applied at various scales, they often overlook system dynamics, demand
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devices. The ideal candidate will have experience working with platforms such as Silicon, Silicon Nitride, and/or Lithium Niobate. The successful candidate will contribute to the development, optimization