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a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The developed laminated‑steel models will be evaluated using an experimental setup
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measurement unit (PMU) data. Analyse long-term measurements to identify how these properties depend on grid operating conditions. Modelling and mitigation: Develop and validate simulation models of
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regarding the recruitment process, please contact HR Advisor, [email protected]. Learn more about the TSirc research group: https://kwantaekim.github.io Read more about working at Aalto: https
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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to a wide suite of engineering and simulation software for electronics design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these
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phenomena and development of biobased barriers, foams, and emulsions Advanced textile recycling, including flotation‑based methods Learn more: https://www.aalto.fi/en/department-of-bioproducts-and
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safety guarantees; Integrating those advances into state-of-the-art RL algorithms; Validating the algorithms in relevant simulation environments and hardware experiments. Requirements Eligible
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combinatorial optimization, sampling, and molecular simulation. The domain expertise is provided through collaboration with partners in life science and materials groups, so no prior experience in the life
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systems. The research should not focus merely on simulation or model-based approaches but consider digital twin as a holistic approach for industrial information management through the whole life-cycle
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of the ship. Ideally, your research will integrate experiments, theory, and simulation in a physics-first manner, directly informing ship design and operations. We expect you to: Advance research to