SHK-Position, Bachelor/Master Thesis(Leipzig): Adhoc Graphanalytics on top of Gradoop
The graph-based storage and processing of large amounts of data is becoming increasingly important. In our work we encounter large networks of interactions between genes, proteins and processes in the life sciences, chemical compounds and their reactions in chemistry or information graphs in the business domain. A particularly prominent example Facebook offers its users access to information of the social network through a graph search.
In a current project at the University of Leipzig, a novel graph-processing platfom (GRADOOP) is developed, which simplifies the entire process of creating a graph, its processing and analysis with the help of standardized operators and workflows. These workflows are then efficiently executed and distributed by using Apache Flink.
We are looking for students that have interest in developing a graphical front-end on top of gradoop for adhoc graph data analysis and integration.
The student should
- be willing to dive into graph analytics topics
- be an awesome web application developer
- love graphs and their analysis