The following positions are open in the department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic.
Applications for all positions will be reviewed on a rolling basis with a first cut-off point on 30. 9. 2022.
- Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic
A Postdoc or Junior Scientist position is available to join the Complex Networks and Brain Dynamics group for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. For more information, conditions and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/en. - Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic
We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, https://www.cs.cas.cz/. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/. For more information, conditions and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/en.
Do not hesitate to contact the group leader / Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/