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Field
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:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
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will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working
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division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
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the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
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activities Curious mind-set with a strong interest in ice flow and climate physics and numerical modelling Good language skills in oral and written English
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for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working prototypes aimed at powering the next generation of electric vehicles and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular