The activity of the research fellow will focus on developing intelligent services based on language models to support decentralized and rural areas. The goal is to leverage the potential of language models to create services for communities in remote locations. To this end, the research will aim to conduct a feasibility study on the adoption of both small and large language models to support citizen health management, specifically by experimenting with different models and applying state-of-the-art techniques—such as fine-tuning and RAG—within the specific context. The ideal candidate should possess the following qualifications: Expertise in the design and implementation of AI systems, particularly in ML and DL