10 software-engineering-model-driven-engineering-phd-position positions at Oak Ridge National Laboratory
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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, eScience). Basic Qualifications: PhD. in Computer Science, Computer Engineering, or a closely related field. At least 3 years of experience designing or operating distributed systems, provenance frameworks
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will work closely with multidisciplinary teams of data scientists, software engineers, physicists, and domain experts to develop innovative analytic capabilities that support nuclear material detection
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application of computational modeling, simulation, and data-driven tools for advanced composite manufacturing processes and structures. Develop software, coding frameworks, and digital workflows for process
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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used at leadership computing facilities and disseminate findings and best practices to the broader HPC community. Basic Qualifications: PhD. in computer science, computer engineering, electrical
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or manufacturing systems. Experience with data analysis, modeling, or automation using tools such as Python, MATLAB, C#, C++, or similar engineering software environments. Experience with CAD/CAM/CAE tools such as
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highly agile and high-performing multidisciplinary team covering, HPC/data infrastructure, data engineering, software engineering, user engagement, and operations. Foster a culture of excellence
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in the world. This position is in the Technology Integration group within NCCS. Specific areas of research interest include: Telemetry collection and analysis to inform system optimization, workload