Master Thesis Opportunities at CST

Contact Email Research themes KTH Profile URL Thesis details URL (if available) Theme 1 Theme 2 Theme 3 Christopher Peters chpeters@kth.se Virtual characters and crowds Procedural graphics generation Game technologies https://www.kth.se/profile/chpeters https://www.csc.kth.se/~chpeters/ESAL/ Stefano Markidis markidis@kth.se Performance Modeling and Characterization Physics-Informed Machine Learning Quantum Computing Applications https://www.kth.se/profile/markidis https://www.kth.se/profile/markidis/page/ms-thesis Tino Weinkauf weinkauf@kth.se Visualization in general Feature-based Data Analysis Topology, Trees, Graphs https://www.kth.se/profile/weinkauf Robert Lindroos rlindr@kth.se Computational Neuroscience Machine learning Synaptic plasticity - learning https://www.kth.se/profile/rlindr?l=en https://docs.google.com/document/d/11WyxdSVnsCYYZJxrKKQ_I17kYIfGmEnixLZIgNBBk2Q/ Arvind Kumar arvkumar@kth.se Markerles tracking to detect future epilepsy in infants Analysis of brain activity data Computational modelling of biological neural networks https://www.kth.se/profile/arvindku https://www.kth.se/profile/arvindku/page/msc-thesis-projects Ivy Peng bopeng@kth.se Heterogeneous parallel computing Memory-centric Computing Converged Cloud and HPC system https://www.kth.se/profile/bopeng https://www.kth.se/social/group/scalable-computing/page/ms-thesis-topics/ Jörg Conradt conr@kth.se Object detection with biological vision Accelerated biological learning on GPUs Biological neurons in embedded systems https://www.kth.se/profile/conr Pawel Herman paherman@kth.se Brain-like computing (brain-like networks for unsupervised and semi-supervised learning problems) Computational neural network modelling of brain cognitive function Brain-computer interfaces https://www.kth.se/profile/paherman Martin Rehn rehn@kth.se Computational Neuroscience Machine learning Quantitative finance https://www.kth.se/profile/rehn/ Golnaz Taheri golnazt@kth.se Computational biology for cancer detection Machine learning Deep learning for drug interaction prediction https://www.kth.se/profile/golnazt Olivia Eriksson olivia@kth.se Model extension and model selection of a synaptic plasticity model Structural Identifiability for models of the brain https://www.kth.se/profile/olivia https://www.kth.se/profile/olivia ¶