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, preprocessing, and analysis of cyber behaviors; Analyze multimedia-rich content within online information environments; Synthesize research findings into written reports and scholarly publications, and present
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, social media analysis, hypothesis generation, and evaluation to understand cyber behaviors; Assist with data collection, cleaning, preprocessing, analysis, and interpretation of findings; Contribute
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web
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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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tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement. Collaborate with academic and industry partners by assisting in project-related research tasks
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together through cutting-edge research in digital media forensics, multimodal data correlation, artificial intelligence, and cyber-enabled trust technologies. Working alongside world-class researchers and
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knowledge of Norwegian or a Scandinavian language is also beneficial. Desirable qualifications include experience with one or more of the following: power system analysis and distribution networks modelling
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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