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 Position
Our 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.
Minimum Education and Experience Requirements
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, TensorFlow, Hugging Face Transformers, or LangChain
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.
Preferred Qualifications, Competencies, and Experience
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.
Special Physical/Mental Requirements
Special Instructions
For information on UNC Postdoctoral Benefits and Services
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Posting Contact Information
Department Contact Name and Title Shavon Carey-Hicks
Department Contact Telephone or Email [email protected]
Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Office of Postdoctoral Affairs at (919) 962-9982 or send an email to .
Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
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.
University of North Carolina
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