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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
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staff position within a Research Infrastructure? No Offer Description Job description The offered position is a PhD research trajectory within a collaborative project entitled Maintain Muscle and Brain
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industrial partners. Our group offers an open and collaborative environment in which we focus on hands-on learning and personal growth of all group members. We are looking for excited and talented candidates
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
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at the intersection of reinforcement learning and stochastic optimization developing novel methodologies that advance both theoretical insights and practical applications collaborating across disciplines and contribute
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intensively collaborate with the two PhD candidates already appointed within the project. This is what you are going to do As the Postdoctoral researcher for Work Package 3, you will be appointed
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Guide students through their individual learning processes and academic growth Collaborate with colleagues to evaluate our teaching methods during weekly meetings and yearly course development For both
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. This role provides an exciting opportunity to contribute to this institute within a collaborative team environment. You will have the chance to engage in existing projects and initiate new research