Molecular Simulation Jobs (NOW HIRING)

Salary: See Position Description
Location : Richland County, SC
Job Type: FTE - Full-Time
Job Number: 7329304
Agency: University of South Carolina
Opening Date: 07/20/2026
Closing Date: 8/15/2026 11:59 PM Eastern
Class Code:: UK63
Position Number:: 7329304
Normal Work Schedule:: Monday - Friday (8:30 - 5:00)
Pay Grade: Unclassified
EEO Statement: Equal Opportunity Employer
Agency Specific Application Procedures:: Your application must be submitted online at https://apptrkr.com/7329304. Google Chrome must be used as the preferred internet browser to enter the applicant portal. QuickLink (Place in Browser): https://apptrkr.com/7329304
Veteran Preference Statement: South Carolina is making our Veterans a priority for employment in state agencies and institutions.
Job Responsibilities
Post Doctoral
Department: CEC Chemical Engineering
Part/Full Time: Full Time
Advertised Salary Range:
About UofSC
From the Upstate to the Lowcountry, 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.
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.
Required Education and Experience
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.
Job Close Date
08/15/2026
Special Instructions to Applicant
Applicants must upload a copy of their C.V/resume' and provide details in the work employment history section.
Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by August 15, 2026.
To apply, please visit:
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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