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Post Doctoral Research Fellow

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: University of South Carolina
Full Time position
Listed on 2026-11-04
Job specializations:
  • Research/Development
    Research Scientist, Postdoctoral Research Fellow, Data Scientist
Salary/Wage Range or Industry Benchmark: 65000 - 90000 USD Yearly USD 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

Post Doctoral Research Fellow Department:

CED Educational & Developmental Science

Part/Full Time:

Full Time

About UofSC

From the Upstate to the Low country, 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 University of South Carolina's Bullying Prevention Center invites applications for a Postdoctoral Research Fellow to support federally funded research focused on bullying prevention, social-emotional development, and behavioral outcomes for students. This position offers a unique opportunity to engage in all phases of the research process, including study implementation, data management and analysis, intervention evaluation, manuscript development, and dissemination of findings through publications and professional presentations.

The fellow will collaborate with school districts, educators, and interdisciplinary research partners while contributing to innovative projects designed to improve outcomes for students, including those with disabilities. The successful candidate will join a collaborative research environment, receive mentorship from experienced faculty researchers, and have opportunities to advance their scholarly agenda, publication record, and professional growth.

Preferred Qualifications
  • Ph.D. or equivalent doctoral degree in Special Education, Education, School Psychology, Educational Psychology, Psychology, or a closely related field.
  • Demonstrated experience conducting research related to bullying prevention, peer victimization, social and communication skills, behavioral outcomes, students with disabilities, or related areas.
  • Experience with quantitative research methods and analysis of large-scale or longitudinal data; school-based research and collaboration with school or district partners; preparation of peer-reviewed manuscripts and conference presentations; and participation in externally funded research projects.
  • A strong record of scholarly productivity and a demonstrated ability to collaborate as part of an interdisciplinary research team.
Knowledge/Skills/Abilities
  • Knowledge of research design, quantitative and/or mixed-methods research, data management, and statistical analysis.
  • Strong scholarly writing, oral communication, organizational, and project-management skills.
  • Ability to analyze and interpret research data; prepare manuscripts, presentations, and other dissemination products; collaborate effectively with interdisciplinary research teams and school and district partners; manage multiple research activities and deadlines; and work independently with appropriate guidance.
  • Knowledge of bullying prevention, peer victimization, special education, school mental health, or social-emotional and behavioral interventions is desirable.
Job Close Date

11/20/2026

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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