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SPECIFICS The Department of Mechanical Engineering at the Pennsylvania State University is seeking a Postdoctoral Scholar in the Electrochemical Engine Center (ECEC) in the field of large-scale computations
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting
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dedicated computing resources (3D visualization workstations, GPU servers). The research will be conducted in close collaboration with Philippe Nghe's team (Laboratory of Structural Cell Biology at École
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation
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analysis facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 300 GPUs and >2PB of high-speed secure storage. The post-holder will also
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research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 300 GPUs and >2PB of high-speed secure storage. The post-holder will also have access to the compute
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evaluating them with clear performance criteria. Familiarity with real-time systems, embedded computing or GPU optimisation. Strong problem-solving and analytical skills. Fluent English, both written and
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, and earth system sciences. Collaborate with researchers to translate scientific challenges into scalable AI/ML and computational solutions. Deploy, optimize, and support AI/ML pipelines on HPC and GPU
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with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling