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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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contact info for two academic references (they will be contacted after shortlisting); • Copy of MSc diploma*; • Copy of Master thesis (in any language); • List of exams with ECTS and
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and accelerating simulations, one-shot design and inverse design in power electronics systems and components, Multi-physics modeling using open-source simulation environments (e.g. FastFieldSolvers
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simulation-based methods to assess how changes in waste management processes can support compliance with certification standards, such as the Voluntary Sustainability Class The project is also grounded in
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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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disassembly, reuse, and remanufacturing already at the early design stage. In this role, you will develop power converter integration concepts that support design for disassembly. Multi-physics simulation tools
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communications, fundamental knowledge on computing architectures, and advanced programming skills (e.g., Python, C++, Matlab/Octave). Experience with simulation, emulation, and modelling tools for signal
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will involve both computational predictions and experimental validation. The project will combine density functional theory calculations with machine learning and molecular dynamics simulations
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hybrid organic-inorganic glasses and compare their vibrational properties against each other as well as more established glass families. The project will complement molecular dynamics simulations with
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims