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2 Ph.D. positions in computational materials science at GWU
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We are looking for two motivated Ph.D. students to fill in the following two positions in the Computational Materials Science (CMS) group (https://blogs.gwu.edu/tsli/) at the George Washington University. Both positions can start in Fall 2023. Position 1: Funded by a recently awarded DOE Energy Frontier Research Center μ-ATOMS (https://efrc.uark.edu/), the CMS group leads the Theory Thrust to investigate the structure, opto-electronic, and quantum properties of silicon-germanium-tin (Si-Ge-Sn) alloys. The core idea of the µ-ATOMs center is based on our recent theoretical findings of short-range order (SRO) in Si-Ge-Sn alloys (https://www.cee.seas.gwu.edu/dr-tianshu-li-taking-lead-gw-newly-funded-energy-frontier-research-center-efrc). In this center, the CMS group is collaborating with other experimental and theoretical groups from 9 institutions to deploy next generation semiconductor materials. Through the center, the doctoral student will have ample opportunities working closely with theorists and experimentalists across a wide discipline for developing theory to enable novel properties through controlling SRO. Candidates interested in this position are expected to have an education background in materials science or condensed matter physics, and experience in quantum simulations. Position 2: The CMS group collaborates with both theoretical and experimental teams to elucidate crystal nucleation mechanism. We are developing computational packages which we apply to model crystal nucleation at the atomistic level, with immediate applications in materials synthesis, membrane fouling, and ice nucleation. Candidates interested in this position are expected to have education background in materials science, chemical engineering or a relevant field, and experience in molecular simulations. For both positions, qualified applicants should have a good GPA for admission and a strong interest in modeling and theory. Experience in coding using C++, Python, and/or other computer languages under Unix/Linux environment is strongly preferred. Interested candidates should send CV and transcript to Dr. Tianshu Li (tsli@gwu.edu) |
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