KTH Royal Institute of Technology is employing three doctoral students.

Project Descriptions

Third-cycle subject: Information and communication technology

Position 1:  Machine and deep learning for graphs

The PhD project aims at advancing the state-of-the-art within Graph Neural Networks (GNNs), which generate low-dimensional representations of graphs, and are used for tasks such as link prediction and node classification, within e.g. social and biological networks.

Position 2: Machine and deep learning for natural language and sequence data

The PhD project aims to develop deep learning methods, for processing natural language and sequence data, in particular for sequence-to-sequence tasks, e.g., text summarisation.

Position 3: Machine and deep learning for health data

The PhD project aims to advance state-of-the-art machine and deep learning techniques for analyzing  both structured and semi-structured data in electronic health records.


The doctoral student will be supervised by: Prof. M. Vazirgiannis and  Prof. H. Boström

More Information and Application

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