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languages Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL) Experience working on high-performance computing (HPC) systems
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related field. Compiler and Systems Expertise: Strong experience with LLVM (e.g., writing passes, IR transformations) and HPC programming in C++, MPI, OpenMP, CUDA, or related models. Solid understanding
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Preferred Qualifications: We are interested in candidates with general research experiences in quantum optics and quantum information science. Priority is given to candidates with experience on the design
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at scale. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks. Effective communicator in both
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networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank linear algebraic approximation methods
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opportunities to develop research methodologies as well as collaborate with experimental groups at Oak Ridge National Laboratory (ORNL). This position resides in the Materials Theory Group in the Materials
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), and system-level telemetry tools. Experience in HPC and associated software development for applications, middleware, and/or system software. Flexibility to adapt to diverse R&D projects and tasks
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background in inorganic or materials chemistry or materials physics. Experience with extraction and separation of materials. Experience in critical mineral extraction and characterization methods. A strong
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a closely related field completed within the last 5 years A track record in the physics of correlated oxides or 2D materials Experience in thin film deposition or 2D materials synthesis Preferred
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery