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Responsibilities Conduct foundational research in adversarial machine learning, exploring novel attack vectors and defense mechanisms for AI agents and large language models. Develop formal verification methods and
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partners, as well as supporting proposals for funding of national/international applications. Required Qualifications PhD in Software Engineering, Robotics, Computer Science, AI, or closely related areas
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for technical-scientific domains that do not correspond exactly to this call. Job Description FBK is looking for candidates to fill one position in Deep Learning methods applied to projects within the DSIP unit
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technical skills and knowledge: Computational methods for data analysis Quantum Computing theory (e.g., QC algorithms) Practical Quantum Computing (e.g., Qiskit) Software development in Linux The following
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interpretation; Preparing numerical and graphical summaries (visualizations) using relevant software and libraries for dissemination to both scientific and broader audiences; Assisting with grant applications
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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robots. The role will involve developing advanced navigation systems. ESSENTIAL REQUIREMENTS PhD in Robotics, Software Engineering or similar disciplines Strong expertise in the localization and mapping
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possibility to be explored is the design of hybrid simulation systems in which the rigor of physical laws is integrated with the power and versatility of AI methods trained with on-field data, either annotated
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linear algebra, numerical methods for PDEs and dynamical systems, stochastic methods in statistical mechanics, hydrodynamic limits, interacting many-body systems, quantum macroscopic evolution equations
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with project partners, contribute to the preparation of project reports and deliverables, be involved in the dissemination of research results, contribute to the co-supervision of Master’s and PhD theses