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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in
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the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in
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in the same fields with five (5) years of experience, OR PhD in the same fields with two (2) years of experien. Willingness to occasionally travel to customer sites, conferences, and offsite meetings
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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of progressive methods of detection, identification, classification and tracking of objects of different sizes, shapes and speeds of movement using elements of artificial intelligence and machine learning
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positions (TV-L E13). Addressing global challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one
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#content5-406934 , is participating in cutting-edge CELTIC MECON research project, focusing on network automation in 6G network architectures. The candidate aims to work in the following areas: Machine
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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computational biology / data science and have the ability to keep up with the latest advances in these areas (e.g. machine learning). You will be experienced in working in a Linux command-line environment and be