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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 19 hours ago
employment. Starting date: 01.09.2026 Job description:PhD Student (f/m/d) for HPC/GPU Computing With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 19 hours ago
systems research. The Department of Scientific Computing Core is looking for a Postdoc (f/m/d) GPGPU Computing. Your tasks # Research in GPU programming and (highly) parallel programming for HPC and
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research computing ecosystem spanning on-premises and remote-site infrastructure, including: • HPC compute platforms for research and data-intensive workloads • GPU-enabled environments for AI and machine
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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Detail Information Position Summary The Grant Lab at the University at Buffalo is seeking a highly skilled Postdoctoral Fellowto lead the computational development of a novel generative AI framework
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of three active research communities: operating systems memory management (NUMA policy, page migration, swap behaviour), high-performance and GPU computing (memory coalescing, unified memory, PCIe transfer
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Ryzen CPU, GPU, and NPU, in terms of inference speed, energy consumption, accuracy, and performance per watt. Different quantization levels (e.g., int8, fp16) will also be explored. Develop intelligent
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studies. These pipelines must be capable of efficiently exploiting different types of parallelism, both at the level of a computing node (CPU and GPU) and at the level of a cluster of PCs. This environment
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parallelization strategies Experience with porting and optimization of parallel HPC software for modern architectures including GPUs Excellent knowledge of a variety of suitable computing languages (including C
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Analysis: Measure the resource usage (computing, bandwidth, memory, energy) of AI workloads across different deployment scenarios (edge, network, cloud) and model configurations. • Adaptive Configurations