The University of North Carolina at Chapel Hill School of Nursing's Center for Virtual Care Value and Excellence (ViVE) is seeking an AI/LLM Postdoctoral Research Associate to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis.
Requirements
- 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
- 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)
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.
Other
- Ph.D. in Computer Science, Electrical Engineering, or related fields.
- Strong problem-solving skills and the ability to work in a collaborative environment.
- Full-Time Temporary
- Estimated Duration of Appointment: 12 Months
- Work Location: Chapel Hill, NC
