We are seeking a PhD student to join our research group to explore molecular-level processes in reverse osmosis (RO) membranes and how they inform observable properties. The project focuses on using, developing, and analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. This work contributes both to fundamental science and to the design of next-generation desalination membranes.
Research Focus
The PhD student will:
- Run and analyze large-scale MD simulations of polymeric RO membranes.
- Study polymer chemistry, crosslinking, and transport processes.
- Develop or extend computational tools for analyzing membrane structure and dynamics.
- Apply and further theoretical frameworks for connecting spatial scales.
- Work with a team of computational and experimental collaborators.
Training and Mentorship
No student is expected to arrive with all the skills listed.
Strong mentorship and training will be provided in:
- MD simulation methods and software (e.g., LAMMPS)
- Code development, data analysis, and workflow design
- High-performance computing and best practices for large simulations
- Upscaling approaches
- Polymer chemistry and membrane science fundamentals
We welcome students from diverse academic backgrounds who are eager to learn, grow, and tackle interdisciplinary problems.
Preferred Skills or Interests
Experience or interest in any of the following is helpful, but not required:
- Computer programming (Python, C/C++, or similar)
- Supercomputing/HPC environments
- Scientific code development
- Chemistry, especially polymer or physical chemistry
- Mathematics, modeling, or numerical methods
If you enjoy solving problems, thinking at the molecular scale, and building computational tools, you may be an excellent fit regardless of your exact background.
What We Offer
- Supportive, collaborative research environment
- Hands-on training in advanced computational methods
- Access to world-class supercomputing resources
- Opportunities to publish, present, and contribute to open-source tools
- Guidance tailored to your career goals, whether academic, national lab, or industry
How to Apply
Interested applicants should send:
- A CV
- A short statement describing their interests and background
- Contact information for references to timothy.weigand@unc.edu.