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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of
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completed a PhD in engineering or computer science, or an equivalent foreign doctoral degree recognised as comparable to a Norwegian PhD. Competence in developing and applying machine learning methods Good
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within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee at NTNU, it is important that
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Qualifications and personal qualities: You must: Hold a relevant master's degree in any of the following disciplinary fields: social sciences, education, science and technology studies (STS), philosophy or other
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relevant Master's degree in mathematical sciences or equivalent, in particular computational mathematics, numerical analysis and experience with AI tools. Your course of study must correspond to a five-year
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Engineering You must have high proficiency in both written and oral English We can not
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You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines. Your course of study must correspond to a five-year Norwegian
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countries. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in atmospheric sciences, physics, applied mathematics, computer science or related disciplines
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employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy Criteria
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economy of technology, to inform ethical frameworks (or similar), governance, policy, and/or professional development in learning contexts, with particular attention to the conditions for individual and