Post Doctoral

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

Post Doctoral

Department: CEC Chemical Engineering

Part/Full Time: Full Time

Job Close Date: 08/15/2026

Advertised Job Summary

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.

Preferred 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.

Knowledge/Skills/Abilities

• 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.

EEO Statement

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.