PhD in Maritime Operative Management Or Equivalent

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. Data sharing between maritime stakeholders is a key enabler for accelerating the operationalization of AI across maritime value chains. This PhD project therefore calls for research on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and sectoral boundaries is often constrained by concerns related to data ownership, confidentiality, cybersecurity risks, and trust. These challenges represent barriers to the safe and responsible use of AI in the maritime domain. This PhD project will investigate how cybersecurity risks influence data sharing for maritime AI model development. The project will have an interdisciplinary approach, combining insights from information security, maritime operations, data engineering, and data governance. The research will include structured review of relevant literature, exploratory studies with industry partners and the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research may include methods such as anomaly detection techniques or simulation-based testing. This position offers the opportunity to work at the intersection of cybersecurity, data sharing, and maritime AI in close collaboration with academic and industrial partners. The research outcomes are expected to contribute knowledge on cybersecurity-related barriers and frameworks to support secure and trustworthy data sharing across maritime AI use cases. Your immediate leader will be the Head of Department.