47 software-formal-method-phd positions at Oak Ridge National Laboratory in computer-science
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-surface flows (Level-set, Volume of fluid method) is a plus. Working knowledge of computer-aided design (CAD) software, such as AutoCAD, CATIA, SOLIDWORK, FreeCAD or similar is required. About ORNL: As a
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experience beyond your PhD (applicants with additional years of experience are encouraged to apply, and we will hire commensurate with years of experience). Demonstrated track record of scientific software
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Requisition Id 16946 Overview: We are seeking a Computational Instrument Scientist who will focus on developing software analysis tools for the powder diffraction instruments. This position
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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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application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader
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HPC research within past five years. Preferred Qualifications: The ability to work independently and develop and deploy methods at scale. Experience in high-performance computing and software
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deployment at ORNL. Ensure appropriate quality, configuration management, technical rigor, and formal work-control expectations are integrated throughout the technology lifecycle, from research and development
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that have applications in multiple sectors of importance in the Department of Energy. The primary focus will be developing separation methods using mass spectrometry including microfluidics, MEMS, and mass
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PhD is strongly preferred. Candidates must have demonstrated leadership experience in line management and organizational operations, including supervision of technical leaders, workforce development
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software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches