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Research Assistant
Posting Information
Department
School of Data Sci and Society - 397100
Career Area
Other
Posting Open Date
03/12/2026
Application Deadline
03/16/2026
Position Type
Temporary Staff (SHRA)
Position Title
Research Assistant
Position Number
20073569
Vacancy ID
S026998
Full-time/Part-time
Part-Time Temporary
Hours per week
20
Work Schedule
Position Location
North Carolina, US
Hiring Range
$25.00 per hour
Proposed Start Date
05/04/2026
Estimated Duration of Appointment
3 months or less
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.
One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.
University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events.
Primary Purpose of Organizational Unit
In 2022, UNC Chapel Hill launched the School of Data Science and Society (SDSS), a new school devoted to data science teaching, research, scholarship, service, and creativity. The SDSS vision is to be a leader in shaping the field of data science through an interdisciplinary and rigorous grounding in theory and methods with a human centric approach to the entire data life cycle.
The mission of SDSS is to empower a diverse community of faculty conducting research in the fundamentals and/or the applications of data science. The school is training undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and ethical applications.
The core elements of the SDSS include porous borders – leveraging our low-walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model.
The mission of SDSS is to empower a diverse community of faculty conducting research in the fundamentals and/or the applications of data science. The school is training undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and ethical applications.
The core elements of the SDSS include porous borders – leveraging our low-walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model.
Position Summary
We are seeking a motivated and skilled Research Assistant to join our team at the School of Data Science and Society (SDSS). This position will report to SDSS Assistant Professor Dr. Ziping Xu and will work collaboratively on projects using large language models (LLMs) to simulate patient trajectory in mobile health studies. This is a hands-on position that offers a student the opportunity to work on high-impact research problems, collaborate across disciplines, and contribute to top-tier publications.
Minimum Education and Experience Requirements
Demonstrated possession of the competencies necessary to perform the work.
Management Preferences
- Course work in STEM-related field
- Experience with LLMs, Machine Learning (ML), or statistics research
Special Physical/Mental Requirements
Campus Security Authority Responsibilities
Not Applicable.
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