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this multidisciplinary PhD project supervised by Dr Mairieli Wessel and Prof. Frits Vaandrager, you will combine insights from software engineering, human-computer interaction and machine learning by applying empirical
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, machine learning, robotics and symbolic AI, Bachelor’s students are also trained in courses such as Theoretical Modelling for Cognitive Science, AI as a Science, or Human-Computer Interaction. In our
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of supramolecular, peptide-based soft materials and connect this to machine learning to navigate the peptide sequence space, and to optimise the properties of promising candidates. In this project, you will use state
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well as atomistic and quantum simulations using machine learning. We apply these methods to access otherwise inaccessible regimes of magnetism and provide explanations and predictions for state-of-the-art time
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at the intersection of artificial intelligence (AI) and cybersecurity such as the security of machine learning, AI for automated analysis and design, federated learning, etc. Radboud University At Radboud University
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of this PhD project is to develop, build and operate a vacuum compatible exfoliation center for the creation of heterostructures constructed from reactive 2D materials. Recently, two-dimensional (2D) materials
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Requirements You have a Master’s degree in computer science, electrical engineering, machine learning, speech and language technology, or equivalent. You have proven expertise in one or more relevant domains
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programming, mathematics, machine learning, robotics and symbolic AI, Bachelor’s students are also offered training in courses such as Theoretical Modelling for Cognitive Science, AI as a Science, or Human
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programming, mathematics, machine learning, robotics and symbolic AI, Bachelor’s students are also offered training in courses such as Theoretical Modelling for Cognitive Science, AI as a Science, or Human
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approaches (behaviour and M/EEG) and analytical tools (computational modelling, machine learning) to make headway on answering this fundamental question. As a PhD candidate, you will design novel behavioural