Master’s Research Fellow, Computer Science, Engineering, Applied Mathematics

• Research corporate Knowledge Graph architectures
• Evaluate strategies for layered modeling, partitioning, and traceability
• Build experimental Knowledge Graph prototypes
• Define quality, coverage, and explainability metrics for queries

• Master’s degree
• Degree in Computer Science, Engineering, Applied Mathematics, or a related field
• Required knowledge of graph databases, Knowledge Graphs, graph analytics, graph search, graph inference, scalability, and partitioning
• Knowledge of Neo4j, Neptune, or equivalent technologies is desirable
• Experience with large-scale Knowledge Graphs
• Knowledge of inference and reasoning strategies
• Experience working in high-volume environments
• Availability to work 40 hours per week

• Monthly stipend: BRL 9,000.00
• Remote work
• 40 hours per week
• 12-month duration