PhD Fellow in knowledge-driven machine learning | Tromsø, Troms, Norway | The Arctic University of Norway

Position:	PhD Fellow in knowledge-driven machine learning
Institution:	The Arctic University of Norway
Location:	Tromsø, Troms, Norway
Duties:	The focus of this PhD fellowship lies on method development in representation learning for graphs, similarity measures and clustering methods for graphs. Relationship graphs extracted from data have the potential to describe correlations and dependencies among objects in a dataset beyond pairwise interactions, and are crucial to quantify complex relationships in, e.g., spatial omics. Generally, these relationship graphs may vary in number of nodes and edges, and additionally have labelled nodes, which makes comparison of such graphs very challenging. Furthermore, we want to incorporate knowledge of an underlying semantic relationship between the nodes of the graphs, independent of the extracted spatial graphs themselves which should be integrated using suitable representations and embeddings
Requirements:	This position requires a Norwegian master's degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master degree recognized as equivalent to a Norwegian master's degree. If you are near completion of your master’s degree, you may still apply; You must document significant coursework in machine learning, pattern recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus

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