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, this interdisciplinary project will also optimize the surface passivation of nanowires to improve voltage and current matching. The project aims to achieve scalability by transferring nanowire solar cells onto lightweight
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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written and spoken English,as this will be required in day-to-day work. Strong theoretical background in systems modelling, estimation, optimization or machine learning. Awareness of diversity and equal
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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for acoustic metamaterials/metasurfaces; use simulation and data-driven optimization; contribute to listening tests and VR-based soundscape evaluation; build or test prototypes; publish results; and contribute
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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application! Work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department of Mathematical Sciences). About