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PhD Candidate in Cybersecurity Challenges in Maritime AI

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Noruega📅 19/10/2026

Descripción

This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: https://www.youtube.com/watch?v=_KHQjc4ndas&t=41s About the position Digitalization and artificial intelligence (AI) are transforming society, and the integration of AI into the maritime industry represents a digital shift that will redefine today’s operations. The maritime industry is increasingly embracing AI, enabling a broad digital transformation. At the same time, the use of AI introduce new cybersecurity challenges that need to be understood and addressed to enable secure and trustworthy AI technology. This PhD project will investigate cybersecurity challenges associated with the development and use of AI in the maritime domain. The project will have an interdisciplinary approach, combining insights from information security, artificial intelligence, maritime operations, and data engineering. The research may address cybersecurity risks related to the data used to develop AI models, the models themselves, or their integration and use in maritime applications. Relevant research topics may include cybersecurity risks related to training data and AI models, data poisoning and manipulation, privacy and confidentiality, secure data sharing, and methods for assessing the security and trustworthiness of maritime AI technology. The specific research questions and methodological approach will be further developed based on the candidate’s background and interests, relevant maritime AI use cases, and collaboration with industry partners. This position offers the opportunity to work at the intersection of cybersecurity, AI, and maritime operations in close collaboration with academic and industrial
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