Postdoctoral Fellow: Soft Materials, ML & Energy Modeling

University of South Carolina; Columbia (SC); On-site; USD 52,000 - 70,000; Full time

Job summary

The University of South Carolina is seeking a Postdoctoral Associate in the CEC Chemical Engineering group to conduct computational design of soft materials using molecular simulation and AI. The role supports startup‑funded research in energy and circular economy, involving design of simulations, data analysis, and dissemination of results.

The successful candidate will mentor junior researchers, contribute to publications and proposals, and collaborate with the Jiang Group to advance

Qualifications

• Doctoral (Ph.D.) degree in Chemical Engineering, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field.
• Experience with molecular simulation, machine learning, or related computational methods for molecular or materials systems.
• Background in polymer science, soft materials, complex fluids, or related areas.
• Proficiency in scientific programming with Python and/or C++. Strong written and verbal communication skills.

Responsibilities

• Design and execute simulation studies and machine learning analyses.
• Analyze results and disseminate findings through publications and presentations.
• Mentor junior researchers and collaborate with team members.
• Support proposal development and grant activities.

Skills

Molecular simulation

Machine learning

Python

C++

Education

PhD in a related field

Tools

Python

C++

Job description

The University of South Carolina is seeking a Postdoctoral Associate in the CEC Chemical Engineering group to conduct computational design of soft materials using molecular simulation and AI. The role supports startup‑funded research in energy and circular economy, involving design of simulations, data analysis, and dissemination of results.

The successful candidate will mentor junior researchers, contribute to publications and proposals, and collaborate with the Jiang Group to advance