KTH Royal Institute of Technology is employing three doctoral students.
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