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switching and conversion in electronic devices, of immense significance for both environmental and societal benefits. You will collaborate closely with colleagues performing synthesis and theory and
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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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
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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to largely contribute to improved environmental performance of the built environment but many challenges remain, particularly related to data sharing between actors in the supply chain. This project will study
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies