招收博士后，machine learning for materials, U of South Carolina

One postdoctoral position of machine learning or simulations of polymers, biomaterials or nanomaterials is available in the Department of Biomedical Engineering at the University of South Carolina. This position is for the projects about polymers, biological systems (proteins, lipids and nucleotides), interfacial electron transfer/redox, or nanoparticles using multiscale simulations. The appointment will be 1-2 years.




Required qualifications:
1) Expertise in machine learning for material design or simulations using Neural Network MD, QM/MM, AIMD, or large-scale simulations.
2) Expertise in the research area(s) related with polymers, enzymatic reactions, interfacial redox and electron transfer, or nanoparticles.
3) Good programming skills.

Knowledge/Skills/Abilities:
Knowledge in one or more of the following areas: (1) machine learning for material design; (2) quantum software (QChem, CP2K, Quantum Expresso or VASP); (3) metadynamics simulations or the development of coarse-grained forcefield parameters would be a plus.

Interested applicants should first send a CV via email to Dr. Tao Wei's university email (taow@mailbox.sc.edu). In the CV, please detail the manner in which your skills can be applied to the proposed research. The short-listed applicants will be contacted for an online interview. Applications will be accepted until the position is filled.

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