Post Doctoral Researcher at InsideHigherEd

Logo:Posting Number:RTF00269PO25USC Market Title:Post Doctoral FellowLink to USC Market Title:https://uscjobs.sc.edu/titles/156387Business Title (Internal Title):Post Doctoral ResearcherCampus:ColumbiaWork County:RichlandCollege/Division:College of Arts and SciencesDepartment:CAS MathematicsAdvertised Salary Range:Salary commensurate with qualificationsLocation of Vacancy:Columbia, SCPart/Full Time:Full TimeHours per Week:37.5Work Schedule:Monday – Friday, 8:30AM – 5:00PM.Type of Staff Position:Staff Research Grant (SRGP)Basis :12 monthsJob Search Category:Post-doctoralAbout 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.South Carolina Retirement:YesState Insurance Programs:YesAnnual Leave:YesSick Leave:YesAdvertised Job Summary:The Department of Mathematics at the University of South Carolina invites applications for a Postdoctoral Researcher to work on an NIH-funded project focused on the multiscale modeling of Stimuli-Responsive Wormlike Micelles for targeted drug delivery. This project aims to develop a first-of-its-kind multiscale simulation platform to predict the behavior of these smart nanocarriers under varying pH and flow conditions. The work bridges theory, computation, and experimental validation to design next-generation therapeutic systems. The position is ideal for a candidate passionate about closing the loop between computational simulations and wet-lab experiments.Job Related Minimum Required Education and Experience:Requires a Doctoral (Ph.D.) degree in area of research specialty.Preferred Qualifications:Doctoral degree in Applied Mathematics, Chemical or Mechanical Engineering, Physics, or other related field.Demonstrated expertise in hands-on rheometry and strong skills in modeling and computational simulation.Proficiency in scientific programming languages, particularly Matlab and/or Python.Knowledge/Skills/Abilities:Excellent written and verbal communication skills in English. Knowledge of research. Strong data analysis, statistical modeling, and visualization skills. Knowledge of experimental rheometry and computational modeling and simulation.Job Duty:Design and conduct rheological experiments to characterize micellar response to pH and shear; generate validation datasets.Essential Function:YesPercentage of Time:35Job Duty:Develop and refine stochastic and macroscopic constitutive models using experimental data; ensure multiscale accuracy.Essential Function:YesPercentage of Time:30Job Duty:Prepare peer-reviewed manuscripts, NIH reports, and conference presentationsEssential Function:YesPercentage of Time:25Job Duty:Mentor graduate/undergraduate trainees per grant Mentoring Plan (IDP reviews, skill development).Essential Function:YesPercentage of Time:10Hazardous weather category:Non-EssentialEmployees 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.:NoNumber of Vacancies:1Job Open Date:12/05/2025Job Close Date:03/04/2026Open Until Filled:NoSpecial Instructions to Applicant:Direct all questions regarding the position to: Paula Vasquez ([email protected])Quicklink for Posting:https://uscjobs.sc.edu/postings/198965EEO 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.