Master's Scholarship Researcher – Artificial Intelligence, Computer Science, Machine Learning

• Research long-term memory for intelligent agents
• Evaluate Temporal RAG, Contextual Retrieval, summarization, and semantic compression
• Develop prototypes for enabling Generative AI to consume Timeline data
• Define metrics for grounding, relevance, traceability, and contextual quality
• Build experimental harnesses to evaluate responses grounded in temporal context
• Participate in an innovation project at the Itaú Institute of Science, Technology and Innovation in partnership with Inova Talentos

• Education: Master's degree
• Fields of study: Artificial Intelligence, Computer Science, Machine Learning, or related areas
• Required knowledge of LLMs, RAG, Temporal RAG, Agent Memory, Contextual Retrieval, response evaluation, multi-agent systems, and context summarization
• Availability to work 40 hours per week
• Preferred knowledge of Long-Term Memory for agents, GraphRAG or Temporal RAG, Grounding and Explainability, Responsible AI, automated agent evaluation, intelligent agent frameworks, personalization, and conversational systems

• Scholarship stipend: BRL 9,000.00
• Remote work
• 40-hour workweek
• 12-month duration