12 postdoctoral-composite-material-finite-element PhD positions at Chalmers University of Technology in Sweden
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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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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focus on organic semiconductors, polymer blends and composites. The group develops new plastic materials for wearable electronics and energy technologies, including organic solar cells, thermoelectrics
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analyses (using finite elements) of geotechnical problems in field scale, in particular coupled flow-deformation analyses Ability to read and understand Swedish Contract terms Full-time temporary employment
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novel sustainable materials. This PhD project is a great opportunity to pursue pioneering research on the scale-up of circular, biobased material solutions for architectural applications in sustainable
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. Of particular interest is the investigation of compositional methods for constructing runtime monitors. The candidate will build on the latest advances in formal methods and learning theory, to develop methods
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materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
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to construction processes, policies, or material flows. Familiarity with research or practice at the intersection of building production methods, circular business models, and sustainability transitions. Experience
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challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division, our group advances generative models, molecular simulations, and molecular design