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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Fellow -- HPC Scientific Workflows (NESAP @ NERSC) postdoctoral fellow to join the Workflow Readiness
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these codes into three widely used HPC libraries: MAGMA, SLATE, and SLEPc. You will collaborate with Environment and Climate Change Canada (ECCC), the Canadian meteorological office, to lead the integration
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, linux and HPC. A strong interest in interdisciplinary research. Excellent interpersonal skills to work effectively with group members and collaborators. Good oral and written communication skills in
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) platform and its exploration in high-performance computing systems, such as HPC infrastructures. More specifically, we are looking for new scientific contributions that: 1) improve the platform's interface
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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computing (HPC) for large-scale data analysis. Experience with seismic tomography, full-waveform inversion, or other advanced imaging techniques. Familiarity with modern data processing workflows and software
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where
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applicability to new domains, including HPC systems, in order to identify different usage alternatives (e.g., user-space execution). It also intends to design and develop new features that extend and improve
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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developing an efficient storage solution for AI applications deployed at HPC centers. In detail, the work will focus on the development of a storage solution that optimizes the persistence of checkpoints of AI