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Postdoctoral Fellow

Job in Columbia, Lexington County, South Carolina, 29228, USA
Listing for: Inside Higher Ed
Full Time position
Listed on 2026-03-01
Job specializations:
  • Healthcare
    Data Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below
Location: Columbia

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.

Department: SOMC Neurology

Part/Full Time: Full Time

Advertised

Job Summary

The Department of Neurology at the University of South Carolina School of Medicine – Columbia is seeking a highly motivated and intellectually curious Postdoctoral Fellow to join a multi-disciplinary research program focused on the neuroimaging of aphasia and stroke recovery. The Fellow will contribute to NIH-funded studies that investigate the structural and functional brain networks underlying language processing and recovery in individuals with post-stroke aphasia.

The position offers an opportunity to work with large-scale multimodal neuroimaging datasets and apply advanced computational methods to address clinically meaningful questions in cognitive neuroscience. Demonstrates commitment to conducting business lawfully and ethically by consistently adhering to compliance policies, procedures and regulations. This position is in support of expanded research activities.

Required

Education and Experience
  • Ph.D. in neuroscience, biomedical engineering, psychology, computational neuroscience, or a related discipline;
  • Strong background in human neuroimaging analysis (e.g., FSL, SPM, AFNI, MRtrix, or equivalent);
  • Demonstrated experience with computational modeling or machine learning applied to neural data;
  • Proficiency in programming (e.g., Python, MATLAB, or R);
  • Prior research experience in language, cognition, stroke, or brain network analysis is desirable;
  • Strong communication skills and a collaborative mindset.
Knowledge/Skills/Abilities
  • Strong analytical and cognitive aptitude, excellent verbal and written communication skills, ability to interact and work well in collaboration with others, familiarity with neuroimaging analysis, computational modeling and programming, etc.
  • Scientific presentation and publication experience helpful.
  • Required to conduct business lawfully and ethically by consistently adhering to compliance policies, procedures and regulations.

Job Close Date: 04/06/2026

Special Instructions to Applicant

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 on 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 April 6, 2026.

To apply, please visit: (Use the "Apply for this Job" box below)./202620

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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