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to development of new methodologies within the field. Potential activities include: Developing machine learning methods to support preconditioning and accelerating simulations, one-shot design and inverse design
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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 will be used to analyze
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AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback
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generator (WTG) simulation model, and a grid-forming type-4 WTG model without or with an energy storage system. The main research target is to evaluate the grid-forming capability of a wind turbine generator
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- Significant experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; - Familiarity with the basic concepts of quantum information and
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structural mechanics as well as engineering modelling, analysis and simulation is essential. Further, the ideal applicant will be capable of working independently, efficiently managing their own workload, and
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid