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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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Qualifications: Ph.D. degree in Physics, Chemistry, Computer Science, or a related discipline. Strong foundation in quantum information and computational physics Preferred Qualifications: Experience in
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research at the
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discovery of novel quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the
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for successfully generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning
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for successfully generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning
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. Familiarity with electronic structure and quantum chemistry methods , such as density functional theory (DFT), and their use in generating reference data for MLIPs. Experience with modern scientific
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extensions to spinful system) and disordered materials is also desirable. The project will involve developing autonomous materials discovery workflows on HPC platforms that can learn structure-chemistry