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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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for integrating large language models (LLMs) with empirical data analysis to enhance threat understanding, uncover emerging attack patterns and evaluate real-world security risks. Collaborate with academic and
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. Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security. Job Requirements: A PhD degree in Computer Science, Cyber
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data for further analysis. However, hardware constraints in IoT systems (e.g. memory, storage, processing speed) often prevent advanced AI/ML or data-heavy workloads at the edge, keeping centralised
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. Supported Areas for START - Infocomm Technology Information Security: Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability
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Campus Lillehammer or Campus Rena. Contact information: Associate Professor, Martin S. Time, phone number: +47 400 13 495, e-mail: [email protected] Head of PhD programme Marit Engen, phone number: +47 61