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focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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contribute to the creative growth of the center and the broader Earth and Planetary Sciences at NYU. Candidates are expected to drive cutting edge research in the following areas of interest: multiscale
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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to accelerate predictions and for multiscale modeling via machine learning force fields. This research will focus on applying a range of computational tools to realistic material systems, including
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conducting research at the convergence of multiscale computational mechanics, civil infrastructure resilience and digital twin modeling. The position will require extensive collaboration across
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experimental data. This position is in the Metallurgy and Advanced Microscopy group within the Materials Science Division. You will Develop and validate a multiscale simulation framework for virtual X-ray
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successful candidate will work on either the Regenerative Rehabilitation Moonshot program or the Innovation Hub program of the Wu Tsai Human Performance Alliance. https://humanperformancealliance.org
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, multiscale data analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation
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. Collaborate with scientists in multidisciplinary team environment, including experimental and multiscale modeling experts. Document research; publish papers in peer-reviewed journals, and present results