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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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, or equivalent solvers to simulate skull fracture mechanics during impact scenarios Perform parametric studies for population-level analysis Develop protocols for various fall scenarios and demographic parameters
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protocols for various fall scenarios and demographic parameters Experimental Validation and Material Characterization Design and execute experimental protocols for material property characterization
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and written. Solid skills in computer programming (Python / Matlab). Experience with CAD and CAE tools. Knowledge of computational fluid dynamics (CFD). Knowledge of finite element method (FEM
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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of fluid/structure dynamics and acoustics. Very good knowledge of English, both spoken and written. Solid skills in computer programming (Python / Matlab). Experience with CAD and CAE tools. Knowledge
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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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