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specialized新蟲(chóng) (初入文壇)
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PhD positions in Computational Materials Science at George Washington University
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About the positions: Two Ph.D. positions are available in the Computational Materials Science group of the Department of Civil and Environmental Engineering at the George Washington University. The position will start in Fall 2022. One position is expected to work on method development and implementation for modeling crystal nucleation. The CMS group is working closely with another team at UC Davis to deploy a LAMMPS based, large-scale computational suite that integrates advanced sampling methods to model crystal nucleation and growth under realistic conditions. The infrastructure will enable broad applications in materials synthesis, surface engineering, membrane fouling, and inorganic mineralization. Representative publication: https://www.nature.com/articles/ncomms15372 The other position is expected to work on understanding the fundamental structures and properties of Si-Ge-Sn alloys. The CMS group is collaborating with experimentalists in other institutions to deploy next generation materials for mid-infrared applications including sensing, security, and autonomous vehicles. We are particularly interested in developing theory of short-range chemical order in medium-entropy alloy and high-entropy alloy. Representative publication: https://pubs.acs.org/doi/abs/10.1021/acsami.0c18483 About the PI: Dr. Li is a full Professor in the Department of Civil and Environmental Engineering at the George Washington University. He received his Bachelor’s degree from Tsinghua University and Ph.D. from University of California Berkeley, both in Materials Science and Engineering. Dr. Li’s research is focused on modeling materials’ behaviors using classical and quantum approaches. Dr. Li’s publications have received more than 10,000 citations. For further information, please visit https://blogs.gwu.edu/tsli/publications/ About inquiry and application procedure: The qualified applicants should have a good GPA for admission and a strong interest in molecular modeling and theory. Experience in coding using C++, Python, and/or other computer languages under Unix/Linux environment is strongly preferred. Candidates please send inquiry along with CV and transcript to Dr. Li (tsli@gwu.edu) |
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