Post Doctoral

Post Doctoral

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.

Requires a Doctoral (Ph.D.) degree in area of research specialty by the start date of employment.

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 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.

Job Duties:

• Conduct molecular simulation studies of soft materials. Analyze structure, dynamics, and transport properties using computational tools. Maintain reproducible workflows and manage data on local and high-performance computing resources.
• Develop and apply machine learning methods for computational soft materials research. Build and evaluate models using simulation and experimental data to predict material properties and guide further study. Document datasets, benchmark performance, and interpret results for validation and follow-up analysis.
• Prepare manuscripts, presentations, and progress updates based on research findings. Communicate results through group meetings, reports, and scholarly outputs. Contribute to proposal development for future external funding.
• Provide technical guidance to graduate and undergraduate researchers working on related projects. Participate in collaborative research activities within the group. Support group operations through meetings, coordination, and knowledge sharing.

Position Attributes:

• Hazardous weather category
  - Non-Essential
• Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing.
  
  - No

Number of Vacancies - 1

Job Open Date - 07/14/2026

Job Close Date - 09/15/2026

Open Until Filled
- No

EEO Statement:
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.