Master’s Research Fellow, Computing, Engineering, Applied Mathematics

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

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

• Grant of R$9,000.00 per month
• Remote work
• 40-hour workweek
• 12-month term