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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important
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to develop new protection and control systems based on virtualization methods. The PhD will work with the interplay between electrical engineering and information technology, protection automation and control
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering . Apply for this job Deadline
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they support running optimally under any given circumstances. Artificial intelligence in networking, i.e., applications of AI to improve network performance, maintainability, security, automated repair and other
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in crystalline rocks. Drilling optimization using machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use
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machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use of artificial intelligence. Electric drilling and other methods
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, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering . Questions about the position
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, automation, scripting simulations) and Fortran /C /C++. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: High level of personal responsibility and initiative
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technologies represent a convenient opportunity to automate complex code analyses and transformation to obtain improved characteristics in the output code. Modern initiatives rely on a multi-layer approach to