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  • Postdoctoral / Research Fellow position in complex network analysis: Critical events detection. Prague, Czechia

    Postdoctoral or Research Fellow position is available to join the Institute of Computer Science or the Czech Academy of Sciences for the project: “Modelling and analysis of complex systems for safety of critical infrastructures“ as part of the National Center of Competence – Cybernetics and Artificial Intelligence funded by the Technology Agency of the Czech Republic, and related projects. The project involves developing, implementing, optimizing and applying techniques for detection and prediction of critical events and regime transitions and their propagation in complex networks, with applications in societally important real-world systems such as social and communication networks, computer networks and large-scale industrial systems.

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  • Postdoc / Junior Scientist in Complex Networks and Information Theory in Prague, Czechia

    A Postdoc or Junior Scientist position is available to join Institute of Computer Science of the Czech Academy of Sciences for the project: “Network modelling of complex systems: from correlation graphs to information hypergraphs“ funded by the Czech Science Foundation. The project involves developing, optimizing and applying techniques for modelling complex dynamical systems beyond the currently available methods of complex network analysis and game theory. The project is carried out in collaboration with the Artificial Intelligence Center of the Czech Technical University.

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  • Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics

    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/.

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  • Postdoc / Junior Scientist position in Multimodal Neuroimaging Machine Learning

    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.

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  • Full-Time Faculty on Data Science and Artificial Intelligence

    The Asian Institute of Management has an available open rank faculty position in the area of Data Science and Artificial Intelligence. Faculty member reports to the Associate Dean. ACADEMIC QUALIFICATIONS (ESSENTIAL) • A doctoral degree in mathematics, computer science, physics, statistics or related quantitative field, with an international publishing track record PROFESSIONAL EXPERIENCE GAINED IN AN INTERNATIONAL ENVIRONMENT (DESIRABLE) • Professional experience in applied and theoretical statistics and other data science relevant fields TEACHING EXPERIENCE (DESIRABLE) • Local or international business school teaching experience (preferably at AACSB- or EQUIS-accredited schools at postgraduate level is desirable) • Experience in teaching courses in data science and computational science • Practices participant-centered learning • Familiarity with teaching and developing online courses AREAS OF EXPERTISE • Demonstrable expertise in the field of statistics, machine learning, deep learning, large-scale data management, big-data analytics, signal processing, visualization, artificial intelligence, data-driven decision making and optimization, and data mining • Desirable areas of expertise and specific research interests may include: o Data science applications o Applied and/or computational statistics o Artificial intelligence o High-performance computing o Scalable algorithms APPLICATION PROCESS Applicants must apply online by submiting their 1) letter of interest and 2) a comprehensive Curriculum Vitae, including educational background, work and/or consulting experience, and a list of the applicant’s research publications at http://apply.interfolio.com/81619.

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