28 high-performance-computing positions at Chalmers University of Technology in Sweden
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
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potential low-symmetry magnetoelectrics 2. Develop workflows for high-throughput screening of material candidates in crystal databases 3. Perform DFT calculations using VASP to evaluate magnetic and
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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years. However, depending on the Department’s needs, the position may include teaching in the Master’s Program Design and Construction Project Management (MPDCPM) or performing other institutional duties
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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of 30 cross-disciplinary researchers, teachers, postdocs, PhD candidates, and support staff. The Division has a good gender balance and high diversity. We are engaged in research, education, and
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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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, with researchers and students from around the globe. The Division of Marine Technology focuses on the professional understanding and technical development of ship operational performance. Research areas
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer