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of advanced AI-based, automated, and intelligent fast-control strategies for voltage control in future distribution grids with high uncertainty and dynamic environments. The project will consider various
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technology, environmental sustainability, resilience and vulnerability and decision support systems. The position is for a period of four years. The nominal length of the PhD programme is three years
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English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. A master's thesis in one of the mentioned
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environments that aims to address how distributed sensing, fibre-optic monitoring, environmental observations, drone- and satellite-based data, operational infrastructure datasets, and/or machine learning can be
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on sustainability, governance, mobilities, Arctic transformations, and societal change. The successful candidate will become part of a dynamic interdisciplinary environment, including UiT’s Environmental Humanities
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Systems Engineering (MBSE), and technologies supporting sustainable space operations. The research environment combines expertise in spacecraft autonomy, guidance and control, AI-enabled resilient systems
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candidate will join a growing interdisciplinary research environment at the interface of mathematics and artificial intelligence. The project is associated with the SURE-AI initiative and the Lie Størmer
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sociopolitical drivers, and modelling tools that cover the entire Arctic Ocean, and extensive international research collaboration. As part of Arctic Ocean 2050, you will join an ambitious research environment
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work both independently and in a team Have good communication and interaction with colleagues and students Want to contribute to a good working environment At UiT we put emphasis on the quality
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and be able to work in an international environment We are looking for candidates who have experience in one or more of the following areas: atmospheric and ionospheric physics space- and astrophysics