48 computer-aided-manufacturing positions at Chalmers University of Technology in Sweden
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the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department
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universities, Guest lectures and networking opportunities with academia and industry, A strong, cross-disciplinary PhD student network. WASP is Sweden’s largest individual research program ever, a major national
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and impacts on the marine environment. This is an opportunity for you to contribute to science-based guidance of the maritime industry in the green transition. The goal is to provide risk-based decision
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international research networks. The Division of Materials and Manufacture , part of the Department of Industrial and Materials Science, focuses on the full value chain—from materials design processing and
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industry. About the research project You will work in the project “Turbulent ship wakes and their effects on the marine environment”, which is a continuation of our pioneering work focused on
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. MC2 houses a cleanroom for micro- and nanofabrication with the latest equipments. Our work is often done in close collaboration with Swedish and international partners within academia, industry and
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Collaborate within academia and with society at large The position is meritorious for future roles in academia, industry, or the public sector. Contract terms The position is a temporary full-time employment
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scientific questions and applied problems together with industry. This position is within the Competence Centre for Catalysis (KCK). Who we are looking for We seek candidates with the following qualifications
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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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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