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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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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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. Specific requirements of the candidate The successful applicant is expected to have: An honours degree at first or upper second-class level in Cyber Security, Artificial Intelligence, Computer
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AI-electronic systems with applications in aerospace, healthcare, and beyond. As AI systems become increasingly integrated into critical applications, ensuring their security and trustworthiness is
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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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detection, exploit mitigation techniques, scalability, software systems, software quality, malware, computer security, fuzzing, software testing. The project is funded by Cybercampus and Umeå University and
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The Mobilizing Insights in Defence and Security (MINDS) program of the Department of National Defence (DND) is committed to fostering the next generation of security and defence scholars in
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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for Deliverable 1 and Deliverable 2 as described in the job description section. Deliverable 1concerns cluster architecture development, with emphasis on inter-cluster communication security, data management, and