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Post Doctoral Fellow

University of South Carolina · United States

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About this position

Logo:

Posting Number:

RTF00206PO26

USC Market Title:

Post Doctoral Fellow

Link to USC Market Title:

https://uscjobs.sc.edu/titles/156387

Business Title (Internal Title):

Post Doctoral Fellow

Campus:

Columbia

Work County:

Richland

College/Division:

College of Arts and Sciences

Department:

CAS Geography

Anticipated Hiring Range:

$60,000

Part/Full Time:

Full Time

Hours per Week:

37.5

Work Schedule:

  • Standard working schedule: 8:30am – 5:00pm
  • Must be willing to work a flexible schedule to meet the needs of the department.

Type of Staff Position:

Staff Research Grant (SRGP)

Basis :

12 months

Job Search Category:

Post-doctoral

About 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:

No

State Insurance Programs:

Yes

Annual Leave:

No

Sick Leave:

Yes

Advertised Job Summary:

The 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.

Job Related Minimum Required Education and Experience:

  • Requires a Doctoral (Ph.D.) degree in area of research specialty by the start date of employment.

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)

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

Job Duty:

Multimodal Data Collection and Research Implementation.

  • Design and implement data collection protocols integrating biometric sensors (e.g., HRV, GSR, skin temperature), VR-based simulation environments, and mobile-based GEMA tools
  • Coordinate and oversee participant data collection sessions in both simulation and real-world environments
  • Ensure proper setup, calibration, and functioning of wearable devices and VR systems during experiments
  • Monitor data quality in real time and troubleshoot technical issues during sessions
  • Maintain standardized procedures across participants to ensure consistency and reproducibility
  • Ensure all data collection activities comply with IRB and human-subject research protocols

Essential Function:

Yes

Percentage of Time:

25

Job Duty:

AI Model Development and Data Analysis.

  • Coordinate day-to-day project activities, including scheduling data collection sessions and managing timelines
  • Collaborate with faculty, clinical partners, and simulation center staff to ensure smooth project execution
  • Support participant recruitment, onboarding, and retention activities
  • Maintain project documentation, logs, and compliance records
  • Supervise and train student research assistants on protocols and procedures
  • Track project milestones and report progress to the Principal Investigator

Essential Function:

Yes

Percentage of Time:

20

Job Duty:

Project Coordination and Research Operations.

  • Coordinate day-to-day project activities, including scheduling data collection sessions and managing timelines
  • Collaborate with faculty, clinical partners, and simulation center staff to ensure smooth project execution
  • Support participant recruitment, onboarding, and retention activities
  • Maintain project documentation, logs, and compliance records
  • Supervise and train student research assistants on protocols and procedures
  • Track project milestones and report progress to the Principal Investigator

Essential Function:

Yes

Percentage of Time:

20

Job Duty:

Manuscript and Grant Writing.

  • Prepare and co-author manuscripts for peer-reviewed journals
  • Assist in drafting conference abstracts, presentations, and technical reports
  • Contribute to preparation of grant proposals and supporting documents
  • Conduct literature reviews to support research publications and funding applications
  • Collaborate with team members to synthesize findings into publishable outputs

Essential Function:

Yes

Percentage of Time:

20

Job Duty:

Digital Intervention Development (Chatbot/Tools).

  • Support design and development of AI-driven chatbot interventions for burnout mitigation
  • Integrate predictive model outputs into intervention logic and workflows
  • Conduct usability testing and collect feedback from participants
  • Assist in refining digital tools based on user experience and evaluation results
  • Collaborate with technical and clinical teams to ensure practical deployment feasibility

Essential Function:

Yes

Percentage of Time:

15

Hazardous weather category:

Non-Essential

Employees 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.:

No

Number of Vacancies:

1

Desired Start Date:

11/01/2026

Position End Date :

12/31/2028

Job Open Date:

09/03/2026

Job Close Date:

10/18/2026

Open Until Filled:

No

Special Instructions to Applicant:

In 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.

Quicklink for Posting:

https://uscjobs.sc.edu/postings/212766

EEO Statement:

The University of South Carolina does not discriminate in employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender, gender identity or expression, genetic information, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other protected category under applicable law.

How to apply

  1. Read the full advert on the source site — it carries the authoritative terms.
  2. Prepare your SOP, CV, transcripts and referees before the deadline.
  3. Apply through the university's own portal. Never pay a fee to a third party.

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Post Doctoral Fellow — University of South Carolina