Post Doctoral

University of South Carolina

  • Columbia, SC
  • 14 days ago
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    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Benchmarkingunmatched
    • C++ Programming Languageunmatched
    • Chemical Engineeringunmatched
    • Chemical Physicsunmatched
    • Communication Skillsunmatched
    • Computational Chemistryunmatched
    • Data Managementunmatched
    • Data Setsunmatched
    • Fundingunmatched
    • Machine Learningunmatched
    • Material Scienceunmatched
    • Materials Analysisunmatched
    • Mentoringunmatched
    • Operational Supportunmatched
    • Plan Meetingsunmatched
    • Polymersunmatched
    • Presentation/Verbal Skillsunmatched
    • Proposal Developmentunmatched
    • Publicationsunmatched
    • Python Programming/Scripting Languageunmatched
    • Research Grantsunmatched
    • Research Skillsunmatched
    • Simulationunmatched
    • Startupunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Writing Skillsunmatched

    Description

    Posting Details

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    Posting Summary

    Logo Posting Number RTF00167PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Anticipated Hiring Range To commensurate with qualifications Location of Vacancy Part/Full Time Full Time Hours per Week 40 Work Schedule

    • Monday - Friday 8:30 am to 5:00 pm.
    • Schedule may change to meet the needs of the college

    Type of Staff Position Staff Research Grant (SRGP) Basis 12 months Job Search Category Post-doctoral

    About USC

    About University of South Carolina

    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.

    Benefits for Research Grant or Time-Limited Positions Are Indicated Below

    The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.

    South Carolina Retirement Yes State Insurance Programs Yes Annual Leave Yes Sick Leave Yes

    Position Description

    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.

    Job Related Minimum Required Education and Experience

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

    Required Certification, Licensure/Other Credentials 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 Duties

    Job Duty

    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.

    Essential Function Yes Percentage of Time 35 Job Duty

    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.

    Essential Function Yes Percentage of Time 35 Job Duty

    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.

    Essential Function Yes Percentage of Time 20 Job Duty

    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.

    Essential Function Yes Percentage of Time 10

    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

    Posting Detail Information

    Number of Vacancies 1 Desired Start Date Position End Date Job Open Date 07/14/2026 Job Close Date 08/15/2026 Open Until Filled No 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.

    Quicklink for Posting https://uscjobs.sc.edu/postings/209432 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.

    Supplemental Questions

    Required fields are indicated with an asterisk (*).

      • Do you or will you have at least a Doctoral (Ph.D.) degree in area of research specialty by the start date of employment?
    • Yes
    • No

    Applicant Documents

    Required Documents

    • Curriculum Vitae

    Optional Documents

    Numbers & Facts

    LocationColumbia, SC

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