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that can be benchmarked through physical experiments or computational simulations. The project is funded by the Research Council of Norway and is a collaboration between NTNU and Norsk Regnesentral
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, theoretical modeling, and numerical simulation to understand and control materials at the nanoscale. Project background Nanometer-scale semiconductor crystallites exhibit optical properties (e.g., absorption
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packaging solutions for semiconductor devices. Develop and support TIE's 3D-ADK (Assembly Design Kit). Interpret fab metrology, defect, E-test yield, and evaluate silicon-to-simulation correlation accuracies
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for molecular magnetic materials lags behind these experimental breakthroughs. DFT fails to capture strong correlation, while wave function-based methods are computationally prohibitive for strongly-correlated
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, Physics, Materials Science, or a related field Three or more years of postdoctoral experience Strong background in first-principles density functional theory calculations, particularly simulations of light
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques and DFT. Demonstrated strong coding skills and a passion for UX/UI design. Summary
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT
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and validate its accuracy against previous benchmarks for small molecules like PtH. This approach is general and can be directly combined with EOM-CC embedded in point charges, or in periodic DFT
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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compatibility with semiconductor die and system-level requirements. Design and execute experiments to evaluate and optimize packaging performance, reliability, and manufacturability. Conduct rigorous simulation