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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 9 days ago
require repeated and highly accurate solutions of the acoustic (and elastic) wave equation on large-scale 2D/3D domains. Finite difference solvers dominate current industrial codes, but their limitations
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 30 days ago
waveform inversion (FWI) and reverse time migration (RTM), which require repeated and highly accurate solutions of the acoustic (and elastic) wave equation on large-scale 2D/3D domains. Finite difference
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) for reproducible research workflows. Support Optimising GPU-accelerated workloads (e.g., PyTorch, TensorFlow), including multi-GPU scaling and distributed training. Develop training materials, documentation, and
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architectures Analysis and preprocessing of different data types (texts, images,etc.) Review latest literature and data Orchestration and documentation of deep learning experiments Processing and visualization
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. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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tools such as JupyterHub, and Kubernetes. Experience designing and operating massive-scale GPU and combining CPU/GPU workloads across these services. Design and debug platforms and will work closely with
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution
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the future. Here’s how you’ll make a difference: Collaborative research centers (SFBs) are the "Champions League" of the DFG-funded projects (Deutsche Forschungsgemeinschaft). They are spanned over 12 years
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appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences