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Department. The workplace will be Trondheim. About the project The position is linked to the project LAIFA (Leveraging AI in Flow Assurance), funded by the Research Council of Norway and in collaboration with
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will be Trondheim. About the project The position is linked to the project LAIFA (Leveraging AI in Flow Assurance), funded by the Research Council of Norway and in collaboration with SINTEF, Equinor, and
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the department, such as work on smaller related research projects or collaboration with organisations in the public and private sectors. Applicants who hold a position outside the university may, by agreement
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-module coupling, and response under varying sea states. Collaborate with other PhD candidates in AIMOS project, working with intelligent control and smart materials. Write scientific articles in high
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, for example through relevant work experience and/or peer-reviewed academic works. Good oral and written presentation skills in English, with the ability to collaborate effectively within a
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candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL, where we foster an open, inclusive, and collaborative
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of laboratory- and field-based studies. The exact research questions and methodological approaches will be further refined in collaboration with the successful candidate. The PhD candidate will play
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using real-world transport and logistics applications. The primary application domain is public transport planning in collaboration with AtB, the public transport authority in the Trondheim region
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sustainably and collaboratively managed Arctic Ocean, approached as one interconnected system spanning from the seafloor to the atmosphere, addressing the local, regional and global consequences of climate
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to: Work independently and collaboratively in a team Engage with practitioners and stakeholders to collect data and communicate scientific results Present and discuss your research with other professionals