AI/LLM Postdoctoral Research Associate
Listed on 2025-11-27
-
Software Development
Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Join to apply for the AI/LLM Postdoctoral Research Associate role at The University of North Carolina at Chapel Hill
4 weeks ago Be among the first 25 applicants
Posting Information- Department:
Sch of Nursing - 440100 - Posting Open Date: 10/22/2025
- Final date to receive applications: 12/01/2025
- Open Until Filled:
No - Position Type:
Postdoctoral Scholar - Position Title:
AI/LLM Postdoctoral Research Associate - Vacancy
- Full-time/Part-time:
Full-Time Temporary - Hours per week: 40
- FTE: 1
- Work Location:
Chapel Hill, NC - Position Location:
North Carolina, US - Hiring Range: $60,000-$70,000 annually
- Estimated Duration of Appointment: 12 Months
The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/ LLM Postdoctoral Research Associate to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis.
About The PositionOur Postdoctoral Research Program is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential for extension based on mutual interest.
We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem‑solving. You’ll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine.
Key Responsibilities- Collaborate with researchers to design, develop, and refine large language and generative models.
- Develop novel algorithms for generative modeling tasks and optimize LLM / GPT‑like models on large datasets.
- Stay abreast of advancements in language modeling and generative AI research.
- Apply your expertise to improve healthcare delivery and patient outcomes.
Ph.D. in Computer Science, Electrical Engineering, or related fields.
Required Qualifications , Competencies, And Experience- Expertise in Retrieval‑Augmented Generation (RAG), Natural Language Processing (NLP), deep learning frameworks.
- Proficiency in Python and frameworks such as PyTorch, Tensor Flow, Hugging Face Transformers, or Lang Chain.
- Familiarity with clinical or healthcare data (e.g., EHRs, clinical notes, structured claims data).
- Proven research record with peer‑reviewed publications in relevant fields.
- Strong problem‑solving skills and the ability to work in a collaborative environment.
- Distributed parallel training and parameter‑efficient tuning.
- Familiarity with multi‑modal foundation models, HITL techniques, and prompt engineering.
- Experience with LLM fine‑tuning, prompt engineering, or retrieval‑augmented generation (RAG).
- Experience deploying large‑scale machine learning models in cloud environments.
Department Contact Name and
Title:
Shavon Carey‑Hicks
Department Contact Telephone or Email: shavon
Postdoctoral Affairs Contact Information:
Please contact the University’s Office of Postdoctoral Affairs at or email opahr.
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.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).