廖夜灵

Postdoc and Ph.D. RA Openings in Computational Materials Science at the University of Maryland-College Park Postdoctoral Research Associate openings and Ph.D. Research Assistantship openings are available at Professor Yifei Mo’s group at the Department of Materials Science and Engineering, the University of Maryland, College Park (UMD). Prof. Mo’s group aims to advance the understanding, design, and discovery of engineering materials through cutting-edge computational techniques. We target critical materials problems that impede high-impact technologies, such as energy storage, conversion, and efficiency. The computational modeling provides enhanced fundamental scientific insights, and enables the ability to rationally design new materials. The group has extensive collaborations with industry, national laboratories, and researchers from other disciplines (computer science, applied mathematics, physics, etc.). More information about the group can be found at http://yfmo.umd.edu Qualifications of the postdoc candidate include: •        Ph.D. in Materials Science, Physics, Chemistry or any related field is required. •        Knowledge of materials science and solid-state physics. •        Experience with ab initio computational methods and/or molecular dynamics simulations. •        Good scientific programming skills in Python, C/C++, Fortran, and the ability to translate physical models to efficient numerical algorithms. We encourage applicants with a range of computational modeling techniques and research interests to apply. A cover letter, curriculum vitae, and a list of references should be sent to Prof. Yifei Mo at yfmo@umd.edu. An immediate starting date is preferred. The candidate for RA positions will be seeking a Ph.D. degree in Materials Science and Engineering (starting Fall 2020 semester). Interested candidates may contact Prof. Yifei Mo directly at yfmo@umd.edu. Formal applications should be submitted online to the graduate school of UMD. Please submit the application for the Ph.D. program in Materials Science and Engineering. The application deadline is 1/3/2020. More information about the application process can be found at http://mse.umd.edu/graduate/admissions The research project will mainly focus on the ab initio quantum mechanical modeling and large-scale atomistic modeling combined with cutting-edge data-driven techniques including artificial intelligence and machine learning. The project involves collaborations with top experimental groups at UMD and national lab, and with top researchers from computer science, applied mathematics, physics, and chemistry, through multiple federal/industry funded projects.   The University of Maryland, College Park, is located in Washington, D.C. metro area. Its proximity to the nation's capital has resulted in strong research partnerships with federal government agencies and research laboratories, including the Department of Energy (DOE), the National Science Foundation (NSF), the National Institute of Standards and Technology (NIST), the National Aeronautics and Space Administration (NASA), the National Institutes of Health (NIH), Army Research Laboratory, and Naval Research Laboratory. 马里兰大学-帕克分校（University of Maryland-College Park, UMD）是美国首都华盛顿DC附近唯一的大型综合性研究型大学。莫一非教授现为马里兰大学材料科学与工程系和马里兰能源研究中心教授。他的研究领域集中在通过材料理论计算方法（包括第一性原理计算、大尺度分子动力学、机器学习、数据挖掘等）来设计高性能新材料。课题组的研究工作发表在Nature, Nature Materials, Nature Communications, JACS, Angewandte Chemie, Advanced Energy Materials, Chemistry of Materials 等期刊上。课题组毕业生均加入世界顶级公司或顶级名校课题组。课题组拟招收博士后1-2名，全奖博士生（Research assistant）2-3名，也欢迎有突出研究背景的访问学生。请有兴趣的学生将简历(CV)发到yfmo@umd.edu