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Develop system-level power, thermal and energy-efficiency models for future heterogeneous computing systems built on advanced CMOS technologies What you will do Continued technology scaling and the
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, scientific computing (in C/C++) and general coding (python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches
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tools.Promote ethical, transparent, and responsible use of AI in line with best practices and international standards.Leverage VIB Data Core services, including high-performance computing pipelines and
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila
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, transparent, and responsible use of AI in line with best practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU
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validation , with a strong emphasis on technology transfer to industrial partners. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/140019 Requirements Specific Requirements
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learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple-instance learning or high-performance computing is an
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will participate in multiple parallel projects, including performing DFT calculations on heterogeneously catalyzed reactions, kinetic modelling of catalyzed reactions in the gas- and/or liquid phase
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version control (Git) and DevOps tools (Docker, Kubernetes, CI/CD pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a
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controlled lab settings (drone cage, motion capture, hardware-in-the-loop simulation, onboard computing) and in outdoor flight campaigns, with application domains including long-range infrastructure