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complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace
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constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace engineering, materials science and engineering, civil engineering
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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Associate in the Peng Research Group . The successful candidate will conduct research at the intersection of scientific AI, atomistic simulation, computational catalysis, and data-driven materials
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science
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interfaces and defects. This research will combine electronic structure methods, artificial intelligence, and data-driven techniques to understand and engineer novel materials for next-generation
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Engineering (https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position
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neural mechanisms, and applying data-driven methods to learn or identify models from empirical data. Notice of Non-Discrimination and Equal Opportunity The University of Delaware does not
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health and disease through hypothesis-driven studies, and the integration of computational and experimental procedures. Interested candidates should submit the following materials as a single PDF