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with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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, open, and impactful science. The project is part of the DDLS and WASP initiatives, which aim to position Sweden at the forefront of computational life sciences and AI research. The PhD student will
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crafting, material recycling and reuse, sustainable bio-design, and robotic manufacturing. The PhD student will be guided by leading researchers in architectural computational design and robotic fabrication
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. The PhD student will be enrolled in a doctoral programme of Chalmers and is jointly supervised by supervisors from the academic and industry sectors. Further information can be obtained by contacting Docent
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qualified supervisory team and a structured doctoral education program leading to a PhD in Geotechnical Engineering. Active participation in the international research community is highly encouraged
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partners in the project. Reporting results to industry and academic forums, as well as open science platforms. Contract terms The PhD position is fully funded from the start and has a scoped duration of 4