Unlock the Power of Graph Technology: Master's Thesis Opportunity

7 days ago


Malmo, Skåne, Sweden Neo4j Full time
About Neo4j

Neo4j is a leading provider of graph database and analytics solutions, empowering organizations to uncover hidden relationships and patterns across vast amounts of data. Our customers rely on Neo4j to gain a deeper understanding of their data and reveal new ways to solve complex problems. With over 75% of Fortune 100 companies using our technology, we're committed to helping organizations achieve their most ambitious goals.

Our Vision

At Neo4j, we're dedicated to helping the world make sense of data. As business, society, and knowledge become increasingly interconnected, our technology promotes innovation by enabling organizations to find and understand data relationships. We've disrupted the traditional database landscape by creating, driving, and leading the graph database category.

The Role

We're seeking a talented student to join our team as a Master's Thesis researcher. As part of our engineering team in Malmö, you'll work with a diverse group of colleagues worldwide, receiving guidance and support from our experts in graph technology. This opportunity will allow you to immerse yourself in graph technology and contribute to the development of innovative solutions.

Past Thesis Topics

Our previous Master's Thesis projects have focused on various aspects of graph technology, including:

  • Force Directed Drawing Algorithms and Parameter Optimisation: This project involved implementing and comparing different graph drawing algorithms, as well as developing a novel approach to select parameter values for graph drawing algorithms.
  • Modeling Profiling Data in a Graph Database for Performance Analysis: This project aimed to identify bottlenecks and performance regressions in Neo4j's database by modeling profiling data as call-stack trees in a graph database.
  • Navigating Failures in Distributed Systems: A Comparative Study of Failure Detection Algorithms: This project explored the use of failure detection algorithms in distributed systems, comparing the performance of different algorithms and identifying areas for improvement.
  • Cache replacement policies and their impact on graph database operations: This project researched and improved the page caching strategy of the Neo4j database, evaluating different algorithms and their impact on performance.
  • Randomly generating execution plans for bug detection in Neo4j: This project proposed a novel approach to fuzz testing graph database management systems by randomly generating execution plans.
Why Join Neo4j?

Neo4j is a leading graph database company with a strong track record of innovation and customer success. We're committed to building a diverse and inclusive workplace, where everyone can develop their potential and have a positive career-defining experience. Join us and be part of a team that's shaping the future of data and analytics.

Neo4j Values

We're a company that values collaboration, user success, and a culture that's open, inclusive, and intellectually honest. We're committed to delivering on our commitments and assuming a positive intent in all our interactions. If you share these values and are passionate about graph technology, we'd love to hear from you.



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