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Scientist (f/m/d) - Model-Based Cybersecurity Risk Analysis - JOB ID: 271967

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Austria📅 9/10/2026

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1 Scientist (f/m/d) - Model-Based Cybersecurity Risk Analysis - JOB ID: 271967 CENTER FOR DIGITAL SAFETY & SECURITY * You co-coordinate AIT's research proposals for national and European funding programmes (Horizon Europe, Chips JU, FFG). * You shape our contributions, draft technical sections, plan effort and budgets, and liaise with consortium partners. * You take on tasks and work package lead roles in running projects, including deliverables, reporting and partner coordination. * You contribute to the method development of ThreatGet, AIT's model-based threat analysis and risk assessment platform, which is used in automotive and applied industrial systems. You strengthen its formal and algorithmic foundations, for example graph-based reasoning on system models, attack path analysis, and model transformation and composition. * You translate project results and industrial needs into concepts that our development team brings into the platform. * You publish your results and contribute to scientific and standardisation activities. * You help shape new research directions, such as threat analysis for AI-enabled systems, which AIT is currently investigating. * You contribute to shaping the group's research and project strategy and develop ideas for new research directions and projects.Your qualifications as an Ingenious Partner: * Completed studies (at least MSc) in computer science or a related field; PhD or equivalent research experience is an advantage * Experience in preparing competitive research proposals and delivering collaborative research projects, with the ability to take increasing responsibility for tasks, work packages and partner coordination. Experience in these areas is expected; a proven track record of leading research activities is an advantage. * Insight into industrial needs, ideally through industry-facing projects or contacts * Experience in cybersecurity risk assessment or threat modelling and familiarity with relevant standards and regulation
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