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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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security. Expertise in data-driven modeling (ML for energy, forecasting, anomaly detection) and physics-informed learning. Real-time/HIL or embedded control experience (e.g., OPAL-RT, RTDS) and laboratory
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of information technology and communication; Solid background and research experience in two or more of the following areas: AI techniques to secure networked computing infrastructures; Data science and statistical analysis
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. (DOR Required) Preferred Experience Experience with cyber-physical testbeds and threat emulation platforms/tools. Experience with agentic AI frameworks. Working knowledge of OT/ICS/IIoT security
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that aims at giving the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with