Post Doctoral Fellow

Job Responsibilities

Post Doctoral FellowDepartment: CAS GeographyPart/Full Time: Full TimeAdvertised Salary Range:About UofSCFrom 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 SummaryThe Post-doctoral Research Associate will support a Duke Endowment–funded, interdisciplinary research project focused on developing and evaluating an AI-driven system for clinician burnout detection and intervention. Under the supervision of Dr. Sicheng Wang, the postdoctoral associate will lead and support multimodal data collection, data integration, predictive modeling, and digital intervention development. The position involves close collaboration with faculty, clinical partners, simulation centers, and student researchers. The role includes coordinating human-subject research activities, supporting project timelines and deliverables, and contributing to scholarly dissemination through peer-reviewed publications and presentations.

Minimum and Additional Requirements

Knowledge/Skills/Abilities- Strong programming and data analysis skills (e.g., Python, R)- Knowledge of research design and statistical analysis- Strong organizational and project management skills- Ability to manage multiple tasks and timelines- Strong written and verbal communication skills- Ability to work independently and collaboratively in interdisciplinary teams

Preferred Qualifications

Preferred Qualifications- Experience with wearable biosensing or physiological data collection- Experience with virtual reality (VR) or simulation-based research- Experience with machine learning, deep learning, or multimodal data analysis- Experience conducting human-subject research and IRB-compliant studies- Experience working with healthcare systems or clinical populations- Experience in interdisciplinary research environments- CITI Human Subjects Research certification (or willingness to obtain upon hire)

Additional Comments

Job Close Date10/18/2026Special Instructions to ApplicantIn addition to submitting a Cover Letter and CV, applicants should also include:- Writing Sample(s): two representative and relevant publications or manuscripts for which the applicant is the first or sole author- List of References & Contact Information: Contact information for three professional references. Letters of recommendation will be requested only from shortlisted candidates.- Research Statement: no more than two pages.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 October 18, 2026.To apply, please visit: https://apptrkr.com/9803850EEO StatementThe 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.je-fa005aa9c84149ca9473fb29e9e27ba4