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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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on reinforcement learning (RL) for policy discovery in a multi-sector “integrated modeling environment” that connects fast ML metamodels of simulators (e.g., transport, energy, environment, climate events). The aim
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letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale A copy of the abstract of your MSc thesis, and a copy of any publications you may
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments
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good process simulation and sustainability assessment skills. The FrameBio PhD project, is part of prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network, a collaboration between 16 partners
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fast operation. The project comprises simulations and design, nanofabrication in collaboration with colleagues, and experimental characterization. Project C: Topology optimization of nanocavity
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letter A research proposal (max 3 pages / 12,000 characters incl. spaces) outlining how you would approach the project topic (research questions, theoretical framing, research design). A detailed CV A copy
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focus on developing a molecular- and system-level understanding of CO₂ capture and release in e-DAC systems using computational modeling and simulation. The PhD candidate will apply computational