Postdoc Position in Materials Simulations / Machine Learning University of South Carolina - 4.2 Columbia, SC Job Details Full-time $57,000 - $60,000 a year 1 day ago Benefits Health insurance 401(k) Qualifications AI models Monte Carlo methods Software coding AI tools proficiency Doctoral degree in life sciences Programming languages Machine intelligence Machine learning (ML) fundamentals Full Job Description One postdoctoral or Research Scientist 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, biomaterials, enzymes, or nanomaterials using machine learning or/and multiscale simulations. The appointment will be 1-2 years.

Required qualifications:

1) Expertise in machine learning / AI for material design, or materials simulations (QM/MM, DFT, AIMD, coarse-grained MD, atomistic MD simulations, phase-field method, cellular simulation, or Monte Carlo). 2) Good programming skills.

Knowledge/Skills/Abilities:

Knowledge in one or more of the following areas: (1) machine learning or AI for the materials design; (2) experience in the quantum chemistry and 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 ( ). Please don't submit your CV to linkedin. 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. My group also has multiple PhD student positions in the materials simulations or machine learning. Welcome to apply.

Pay:

$57,000.00 - $60,000.00 per year

Benefits:

401(k) Health insurance

Work Location:

In person