Post Doctoral

Job Responsibilities

Post Doctoral

Department: CEC Chemical Engineering

Part/Full Time:
Full Time

From the Upstate to the Low country, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning.

All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

The Postdoctoral Associate will conduct research on the computational design of soft materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and circular-economy applications. The Post Doctoral Associate will design and execute simulation and machine-learning studies, analyze results, disseminate findings through publications and presentations, mentor junior researchers, and support proposal development.

• 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.

• Knowledge of computational methods for molecular and materials research.
• Ability to design, execute, and analyze computational studies independently.
• Proficiency in scientific programming and effective written and verbal communication.

08/15/2026

The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.