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At the Department of Computer Science (IDI), we have a vacancy for a PhD candidate within AI and Big Data.

The research of this position, funded by NorwAI, will be performed in cooperation with industry partners in the NorwAI research center, within one of the following topics:

 Topic A, dynamic graph analytics: For many important applications, data is represented as graphs, with dynamic relationships between nodes. Examples include the power grid, financial transaction relationships, social networks, and transportation networks. Interesting research challenges the PhD student might work on in this context include anomaly detection, scalable processing, and real-time processing of dynamic graphs.

Topic B, streaming data: Data streams arrives with high velocity, possibly from multiple and heterogeneous streaming data sources. Examples of data streams we are working with are sensor data and customer interaction data. Often, there are strict requirements for processing time and resource usage, and interesting challenges here include developing efficient methods for analysing data streams under such constraints. Stream data can often have varying accuracy and quality, or have varying degree of completeness, how to handle this in the data processing and analysis part are also very relevant research topics.

Topic C, efficient storage and processing of graph-based data: Data naturally modelled as graphs poses new challenges for efficient storage and querying. Relevant challenges for this topic include algorithms, indexes and systems for handling dynamic, streaming, or property graph data. Another relevant direction is to use AI to improve efficiency of graph database algorithms or database systems, for example using learned indexes.

Application deadline: 2024-05-26

Read more and apply