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Post Doctoral

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: University of South Carolina
Full Time, Seasonal/Temporary position
Listed on 2026-07-19
Job specializations:
  • Research/Development
    Research Scientist, Postdoctoral Research Fellow, Biomedical Science
Salary/Wage Range or Industry Benchmark: 52000 - 70000 USD Yearly USD 52000.00 70000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

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.

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