830 security-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The PhD position is located within Department of Computer Science (DIDA) SDS (secure and distributed
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undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . The doctoral student will join the Secure
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Infrastructure? No Offer Description Project description Third-cycle subject: Electrical Engineering Are you interested in working in a European doctoral network on the security and resilience of critical
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Technology at Lund University comprises several departments, of which the Division of Fire Safety Engineering is one. The department conducts research and teaching linked to society's needs for infrastructure
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Are you passionate about cybersecurity and interested in securing large-scale IoT and industrial systems that underpin critical infrastructure and everyday services, with a focus on detecting
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role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance
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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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and society. The vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and