Research Assistant

Monday - Friday, 8:00 AM - 4:30 PM

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.

The Department of Computer Science is one of 16 science departments and curricula in the College of Arts and Sciences. It is a major teaching department with more than 30 tenured/tenure track faculty, nine research faculty, and 28 adjunct faculty, who serve more than a thousand undergraduate students and hundreds of graduate students and postdoctoral fellows. Our driving research ideal is collaboration-as it has been since the founding of our department in 1964. We believe that computer science's greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new research with our colleagues and with scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large interdisciplinary research groups, and collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world.

The Research Assistant will support advanced research in machine learning (ML) and its applications in natural language processing ( NLP), computer vision, or related areas. The primary responsibilities include: Research Support Assist faculty and PhD students in designing, implementing, and testing ML/ NLP algorithms, including data preprocessing, model training, and evaluation. Collaborate on the development of innovative solutions to complex problems in the field of ML/ NLP. Conduct literature reviews and stay updated with the latest advancements in the relevant research areas. Software and Data Management Develop and maintain codebases using popular ML/ NLP frameworks such as TensorFlow and PyTorch. Manage experimental datasets to ensure their quality and integrity. Ensure proper documentation and reproducibility of research results. Experimentation Run computational experiments on local servers, GPU clusters, or cloud platforms. Collect, analyze, and interpret results. Generate technical summaries and reports. Collaboration Work closely with graduate students, faculty mentors, and external partners to coordinate project tasks and activities. Contribute to joint publications and presentations at academic conferences.

Demonstrated possession of the competencies necessary to perform the work.

Experience in Computer Science or EE/ ECE on a topic in machine learning applied to natural language processing, computer vision, or a related area. Experience in research within ML, NLP, or related areas. Experience with programming skills. Strong writing and communication skills.

Strong publication record in NLP, ML, or related areas. Strong programming skills, including TensorFlow and/or PyTorch. Demonstrated strong communication, teamwork, and leadership skills.

If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu

Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.