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28th February 2026 Languages English English English The Department of ICT and Natural Sciences has a vacancy for a PhD Candidate in Secure and Trustworthy Data Sharing for Maritime AI Model
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develop approaches to enhance security and resilience, helping to build trust in AI-enabled retail investment ecosystems. Funding Both Home and International students can apply. Only home tuition fees will
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for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees from
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in workshops and in scientific journals and conferences. Scientific context The main challenge is to quantify the risk of a severe accident in order to guarantee the safety of containment structures in
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learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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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
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SECURING project within the KISON research group, which is part of the Research Centre on Ethical Technologies and Humanity Connectivity (UOC-TECH) at the UOC. The aim of the project is to contribute
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, Estonian Maritime Academy: Estonian Maritime Academy: Waterways Safety Management Duration: 4 years (full-time) We are seeking a highly motivated PhD student(s) to conduct cutting-edge research in marine