58 parallel-computing-numerical-methods-"Prof" positions at Chalmers University of Technology in Sweden
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candidate low-dimensional magnetoelectrics; (b) evaluation of their magnetoelectric properties using density functional theory (DFT) and related computational methods; and (c) advancing theories of novel
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involves building prototypes, developing measurement techniques, interpreting data, and creating fabrication methods in the nanofabrication lab. You will also join our journal club to gain general academic
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cladding materials. We will develop a full methodology for computational design, robotic 3D printing, assembly and disassembly of the panels, and demonstrate their application in typical insulated wall frame
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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, which specializes in climate dynamics, numerical modeling, greenhouse gas emissions, and data-fusion methods, including data assimilation. This position offers opportunities for collaboration with both
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) . Other divisions of IMS are: Design & Human Factors; Product Development; Material & Computational Mechanics; Engineering Materials; Materials and Manufacture. Chalmers is a private university with strong
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Chalmers University of Technology focused on the recycling of carbon fibre composites. The project aims to develop a novel method for recovering fibres using magnetic fields, with the goal of lowering
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of existing structures. However, despite major research efforts, the effect of cracks on durability is still debated. Ongoing long-term tests will be combined with accelerated testing methods. X-ray imaging is
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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team focused on improving the efficiency, resilience, and sustainability of future transport systems. In the team, we are interested in state-of-the-art models, methods, and technologies to enhance