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trustworthy, we facilitate large-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing
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that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI trustworthy, we facilitate large-scale and
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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generative models, geometric machine learning, dynamical systems, and/or multi-modal learning. From the materials science perspective, our primary focus will be on ultra-thin, so-called, 2-dimensional
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-responsive and multi-modal operation. The tasks will include: Exploring new doping strategies to modulate the properties of organic semiconductors Performing optical/electrical measurements to study charge
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functionalities. The research aims to expand the capabilities of organic electronic devices by integrating light-responsive and multi-modal operation. The tasks will include: Exploring new doping strategies