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Computing to join the team. In this exciting role, you will research in quantum computing, with a focus on the development of theoretical approaches and novel quantum algorithms that lead to scientific
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techniques. Support scientific staff in development for reservoir modeling algorithms for petroleum, geothermal, and geologic carbon storage applications. Some familiarity with LBNL's TOUGH suite of modeling
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mitigation strategies. Validate, analyze, and interpret experimental data. Develop algorithms for near-term hardware based on critical evaluation of the literature, and original thinking. Design quantum
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the full stack, and develop scalable classical simulations (e.g., tensor networks)--including performance bounds beyond brute-force classical simulability. This role is deeply collaborative with the Advanced
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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scalable quantum algorithm development and quantum-HPC codesign. What is Required: PhD in Computer Science, Computational Science, Applied Mathematics, or a related field awarded within the last five years
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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role, you will report to the Chief Informatics Officer (CIO ) and lead your team to develop the next generation of software infrastructure to support data generation, analysis, and dissemination