Ph.D., Assistant Professor Department of Materials Science and Engineering
Prof. Luo's Computational Materials Design (CMD) group interests in two complementary fields: (1) first-principles calculations of functional materials, focusing on their electronic properties, optical properties, lattice dynamics, defects, and growth dynamics, and (2) development of new computational methods. The CMD group is in close collaboration with experimental groups in and outside China.
Oct. 2018 – Now SUSTech, Department of Materials Science and Engineering, Assistant Professor
Oct. 2017 – Sep. 2018 Washington University in St. Louis, Department of Mechanical Engineering and Materials Science, Research Scientist
Apr. 2012 – Jul. 2017 University of Wisconsin-Madison, Department of Materials Science and Engineering, Research Associate
Oct. 2010 – Mar. 2012 Institute for Molecular Science (Japan), Postdoctoral Researcher
Sep. 2005 – Jul. 2010 Peking University, Condensed Matter Physics, Ph.D.
Sep. 2001 – Jul. 2005 Tianjin University, Applied Physics, B.Sc.
Awards and Honors
◆ Shenzhen Peacock Plan Award, Level B (2019)
◆ Seed Project Award, Materials Research Science and Engineering Center, USA (2016, 2017)
◆ Fellow of Institute for Molecular Science, Japan (2011)
Research in this group involves two aspects: (1) first-principles study of functional materials, e.g. electronic materials and clean-energy materials, focusing on their electronic properties, optical properties, lattice dynamics, defects, and growth dynamics; and (2) development of new computational methods.
Computational Materials Science
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Open positions of Postdoctoral Researcher
Professor Guangfu Luo's Computational Materials Design group at the Southern University of Science and Technology (SUSTech), Shenzhen, China has been working on computational modeling of functional materials using first-principles methods, including density functional theory and many-body quantum theory. Currently, one postdoctoral positions are available, with projects involving computational modeling of the electronic properties, optical properties, defects, and growth dynamics of semiconductors and clean-energy materials.
A PhD degree in a relevant field (e.g. condensed matter physics) and familiarity with typical DFT codes (e.g. VASP or Quantum Espresso) are required. The research will broadly develop computational modeling skills and have opportunities to work closely with superior experimental groups. The appointment is initially for one year and can be extended based on mutual agreement. Depending on performance, the salary varies between 300,000 and 330,000 RMB/yr.
Interested applicants should send a cover letter and CV to luogf[at]sustech.edu.cn. Review will begin immediately and continue until the positions are filled.