This researcher will support related to the research of molecular simulations of polymers and biomolecules at Louisiana State University (LSU). The projects include investigating conformations, physical/thermodynamic properties of polymers, peptides, proteins, and RNAs, building data-driven approaches to predict structures and properties of the soft materials, and free energy calculations of small drug molecules in different environments. Specifically, we are interested in (i) semiconductive polymers with potential applications in wearable devices and soft robotics, (ii) peptides, proteins, and RNAs as therapeutic agents, and (iii) impacts of addictive/solvents in microplastics on human health. We also developed all-atom and coarse-grained molecular models for macromolecules such as polymers, proteins, RNAs, etc.
90% - Conduct research research of molecular simulations of polymers and biomolecules at Louisiana State University (LSU). The projects include investigating conformations, physical/thermodynamic properties of polymers, peptides, proteins, and RNAs, building data-driven approaches to predict structures and properties of the soft materials, and free energy calculations of small drug molecules in different environments. Specifically, we are interested in (i) semiconductive polymers with potential applications in wearable devices and soft robotics, (ii) pe
5% - Supervise graduate students
5% - Other duties as assigned
Minimum Qualifications:
Ph.D. in chemical engineering or equivalent
Years of Experience: 3 years or more
Specific Experience: Linux, Python, etc. Experience with a variety of techniques: LAMMPS, NAMD, GROMACS, AMBER, DFT, ORCA, etc.
Preferred Qualification:
Ph.D. with Experience with a variety of techniques: LAMMPS, NAMD, GROMACS, AMBER, DFT, ORCA, etc. Machine learning techniques are preferred but not required.
Special Instructions:
Background is required prior to hire.
Original transcripts required prior to hire.
Please include:
Teaching and Research statement
3 professional references
