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

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Investigate corporate Knowledge Graph frameworks

• Assess approaches for layered modeling, partitioning, and traceability

• Develop experimental prototypes of Knowledge Graphs

• Establish metrics for quality, coverage, and explainability for queries

⛳️ Requirements

• Master’s degree

• Degree in Computer Science, Engineering, Applied Mathematics, or a related discipline

• Essential knowledge of graph databases, Knowledge Graphs, graph analytics, graph search, graph inference, scalability, and partitioning

• Familiarity with Neo4j, Neptune, or similar technologies is preferred

• Experience with large-scale Knowledge Graphs

• Understanding of inference and reasoning methodologies

• Background in high-volume environments

• Ability to commit to 40 hours per week

🏝️ Benefits

• Monthly stipend: BRL 9,000.00

• Opportunity for remote work

• 40 hours per week

• Duration of 12 months