Informatics
Work description
This work will begin with a study on Agentic Retrieval-Augmented Generation architectures, focusing on the integration of heterogeneous and distributed data sources. Prototypes will be implemented to evaluate different architectural choices based on an orchestrator that receives user input and delegates tasks to a set of intelligent agents specialized in information retrieval and processing. The issues to be addressed involve defining architectures and interfaces that enable interaction between language models and multiple data technologies, ensuring correct coordination, contextualization, and access control to information. Empirical studies will be used to study and demonstrate the benefits of the proposed multi-agent Agentic RAG approaches.
Academic Qualifications
Master's Student in Informatics Engineering or a related field.
Minimum profile required
- Knowledge of Software Engineering;- Knowledge of Computer Networks;- Knowledge of Distributed Systems;- Demonstrated experience in a professional context.
Preference factors
- Experience with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python; - Experience in using, integrating, and developing APIs; - Experience in developing multi-agent systems; - Experience with cloud technologies and platforms (Azure, GCP, AWS) and solution deployment in on-premise infrastructures.
Application Period
Since 27 Feb 2026 to 12 Mar 2026
Centre
Human-Centered Computing and Information Science