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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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to modulate the properties of organic semiconductors Performing optical/electrical measurements to study charge transport and doping effects Implementing the resulting materials and processes into functional
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unique challenges from a machine learning perspective, calling for novel machine learning research that will push the boundaries beyond the current state-of-the-art. As a PhD student, you devote most
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description of current literature on which you would base your research, both methodologically and in terms of the concrete PhD topic. Your workplace The Department of Computer and Information
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experience. The proposal should contain a description of current literature on which you would base your research, both methodologically and in terms of the concrete PhD topic. The applicants that are invited
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learning research that will push the boundaries beyond the current state-of-the-art. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and