Master's Thesis Opportunity - Spring of 2027 (Kernel)

Added
26 days ago
Type
Full time
Salary
Salary not provided

Related skills

continuous integration machine learning distributed systems cloud architecture performance tuning

๐Ÿ“‹ Description

  • Work on a Master's thesis project with the Kernel team in the areas of transaction management
  • Collaborate with another student on the thesis project as a pair.
  • Receive advice and continuous support from Neo4j experts in graph technology.
  • Tackle challenges in concurrency and parallelism, distributed systems and fault tolerance, language
  • Contribute to graph database kernel development and performance analysis.

๐ŸŽฏ Requirements

  • Master's student at the end of studies.
  • Interest in graph technology and database systems.
  • Ability to work in a team with another student.
  • Knowledge of transaction management, concurrency, and system performance.
  • Familiarity with algorithms, benchmarking, and performance tuning.
  • Strong problem-solving and analytical skills.

๐ŸŽ Benefits

  • Work with a diverse team of talented colleagues worldwide.
  • Receive expert guidance and support from Neo4j graph technology experts.
  • Opportunity to shape the future of data and analytics.
  • Be part of a company with strong culture and industry recognition.
  • Access to the world's largest graph community and ecosystem.
  • Gain experience in a leading graph intelligence platform.
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