Top 14 Post doctoral Jobs in Lugoff, Sc

Post Doctoral
State of South Carolina —Richland County, SC
- Full-time
- University
- Doctor of Philosophy
- In-person
- Disability insurance
- Health insurance
10d
Post-Doctoral Fellow
State of South Carolina —Richland County, SC
- Full-time
- Analysis skills
- University
- In-person
- Disability insurance
- Health insurance
17h
Post Doctoral Fellow
University of South Carolina —Richland, SC
- $63,480 a year
- Full-time
- Surgery
- University
- Doctor of Philosophy
- Health insurance
- Life insurance
Post Doctoral Fellow
State of South Carolina —Richland County, SC
- Full-time
- In-person
- Senior level
- Disability insurance
- Health insurance
17h
Post Doctoral
University of South Carolina —Richland, SC
- Full-time
- University
- Doctor of Philosophy
- Senior level
- Health insurance
- Life insurance
Post Doctoral FellowPost Doctoral Fellow
State of South Carolina —Richland County, SC
- Full-time
- Analysis skills
- Project management
- University
- Disability insurance
- Health insurance
16h
Post-Doctoral Fellow
University of South Carolina —Richland, SC
- Full-time
- Analysis skills
- University
- Doctor of Philosophy
- Health insurance
- Life insurance

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Post Doctoral Fellow
State of South Carolina —Richland County, SC
Advertised Job SummaryThe postdoctoral researcher will engage with the team of undergraduate researchers, assisting them in their research and serving as a…
17h
Post-Doctoral Fellow
State of South Carolina —Richland County, SC
Experience of Electrochemical data collection and analysis – deconvoluting polarization curves, voltammetry, rotating disk electrode and EIS .
17h

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In addition to research activities, the Postdoctoral Scholar will help identify and develop new research directions, contribute to the development of course…
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Post Doctoral

State of South Carolina -
Richland County, SC

Apply Now

Job Details

Full-time
10 days ago

Benefits

Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Tuition reimbursement
Vision insurance
Flexible schedule
Life insurance
Prescription drug insurance

Qualifications

AI models
Energy research
Doctor of Computational Chemistry
Computational research
Doctoral degree in chemistry
Chemical Engineering
Research proposal writing
Material modeling
Molecular dynamics simulations
Scientific publications
Simulation modeling (chemistry)
Scientific research papers
Programming languages
Machine intelligence
Proposal writing
Doctor of Philosophy
Engineering research
Chemistry
Doctoral degree in chemical engineering
AI implementation
Research assistant mentoring
Machine learning (ML) fundamentals
Materials science
Senior level
Artificial intelligence research
Communication skills
Materials Science
Research supervision
Scientific reports

Full Job Description

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: https://apptrkr.com/7329304

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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