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Networks, and ICT Services & Applications. We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The focus of this position is in
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, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research
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Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current
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declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal language. This specification is first
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fundamental research and the development of practical software platforms and demonstrators in collaboration with industrial and public-sector partners. More generally, the PhD thesis is part of a large
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, Data Science, Software Engineering, Human-AI Interaction, or a related field Proficiency in research methods commonly used in IS research, such as design science research Strong interest in publishing in
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well as part of a team Solid quantitative and empirical research skills, including experience with econometric methods and statistical software Experience in presenting research findings at academic conferences
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ICT Services & Applications. Your role The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine
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developing generic tools that take a declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal