Master Thesis Opportunities at CST

Contact Email Master Research Themes More info Christopher Peters chpeters@kth.se Virtual characters, crowds and social robots Procedural graphics generation Game technologies Link

Stefano Markidis markidis@kth.se Performance Modeling and Characterization Physics-Informed Machine Learning Quantum Computing Applications Link Tino Weinkauf weinkauf@kth.se Visualization in general Feature-based Data Analysis Topology, Trees, Graphs Robert Lindroos rlindr@kth.se Computational Neuroscience Machine learning Synaptic plasticity - learning Link Arvind Kumar arvkumar@kth.se Markerless tracking to detect future epilepsy in infants Analysis of brain activity data Computational modelling of biological neural networks Link Ivy Peng bopeng@kth.se Heterogeneous parallel computing Memory-centric Computing Converged Cloud and HPC system Link Jörg Conradt conr@kth.se Object detection with biological vision Accelerated biological learning on GPUs Biological neurons in embedded systems Pawel Herman paherman@kth.se Brain-like computing Computational neural network modelling of brain cognitive function Brain-computer interfaces Martin Rehn rehn@kth.se Computational Neuroscience Machine learning Quantitative finance Golnaz Taheri golnazt@kth.se Computational biology for cancer detection Machine learning Deep learning for drug interaction prediction Olivia Eriksson olivia@kth.se Model extension and model selection of a synaptic plasticity model Structural Identifiability for models of the brain Link Johan Hoffman jhoffman@kth.se Numerical analysis Fluid mechanics Computational mechanics Click on the name of each individual above (leftmost column) to be brought to their KTH profile page.

We examine and supervise KTH theses across HCT, CS and IS departments.

Don't hesitate to contact us if you would like to investigate thesis opportunities!