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on the master’s thesis, or the average grade of the qualifying degree, is normally required for admission to the PhD program at the faculty. Personal qualities will be emphasised. Ambition and potential will also
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for a PhD education, i.e., by having relevant work experience and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must
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conferences, workshops and discussions Be prepared for changes to your work duties after employment. Required selection criteria You must meet the requirements for admission to the faculty's Doctoral Programme
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering (https://www.ntnu.edu/studies/phiv) within three months of your
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Maritime AI Centre activities. Take courses in relevant technical topics, comprising a minimum of 30 ECTS. Required selection criteria You must have a relevant Master's degree in computer science, artificial
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to the faculty's Doctoral Programme (link), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science, Cyber Security, or an equivalent field. Your
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decision-making, computational efficiency, generalization under changing market conditions, and safe constraint handling. The PhD candidate will develop and validate decision-support methods based on deep
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education programme Carry out high quality research Develop material integrity predictive framework using different experimental and simulation approaches Participate in project meetings with supervisors and
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international activities such as conferences and/or research stays at foreign educational institutions. Undertake teaching and supervision of master students in the program in Urban Planning at Department
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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in